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relationship model</title> <meta name="description" content="Search results for: entity relationship model"> <meta name="keywords" content="entity relationship model"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="entity relationship model"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 22103</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: entity relationship model</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22103</span> Modeling User Context Using CEAR Diagram</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ravindra%20Dastikop">Ravindra Dastikop</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20S.%20Thyagaraju"> G. S. Thyagaraju</a>, <a href="https://publications.waset.org/abstracts/search?q=U.%20P.%20Kulkarni"> U. P. Kulkarni</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Even though the number of context aware applications is increasing day by day along with the users, till today there is no generic programming paradigm for context aware applications. This situation could be remedied by design and developing the appropriate context modeling and programming paradigm for context aware applications. In this paper, we are proposing the static context model and metrics for validating the expressiveness and understandability of the model. The proposed context modeling is a way of describing a situation of user using context entities , attributes and relationships .The model which is an extended and hybrid version of ER model, ontology model and Graphical model is specifically meant for expressing and understanding the user situation in context aware environment. The model is useful for understanding context aware problems, preparing documentation and designing programs and databases. The model makes use of context entity attributes relationship (CEAR) diagram for representation of association between the context entities and attributes. We have identified a new set of graphical notations for improving the expressiveness and understandability of context from the end user perspective . <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=user%20context" title="user context">user context</a>, <a href="https://publications.waset.org/abstracts/search?q=context%20entity" title=" context entity"> context entity</a>, <a href="https://publications.waset.org/abstracts/search?q=context%20entity%20attributes" title=" context entity attributes"> context entity attributes</a>, <a href="https://publications.waset.org/abstracts/search?q=situation" title=" situation"> situation</a>, <a href="https://publications.waset.org/abstracts/search?q=sensors" title=" sensors"> sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=devices" title=" devices"> devices</a>, <a href="https://publications.waset.org/abstracts/search?q=relationships" title=" relationships"> relationships</a>, <a href="https://publications.waset.org/abstracts/search?q=actors" title=" actors"> actors</a>, <a href="https://publications.waset.org/abstracts/search?q=expressiveness" title=" expressiveness"> expressiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=understandability" title=" understandability"> understandability</a> </p> <a href="https://publications.waset.org/abstracts/3666/modeling-user-context-using-cear-diagram" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3666.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">344</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22102</span> A Framework for Chinese Domain-Specific Distant Supervised Named Entity Recognition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qin%20Long">Qin Long</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Xiaoge"> Li Xiaoge</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Knowledge Graphs have now become a new form of knowledge representation. However, there is no consensus in regard to a plausible and definition of entities and relationships in the domain-specific knowledge graph. Further, in conjunction with several limitations and deficiencies, various domain-specific entities and relationships recognition approaches are far from perfect. Specifically, named entity recognition in Chinese domain is a critical task for the natural language process applications. However, a bottleneck problem with Chinese named entity recognition in new domains is the lack of annotated data. To address this challenge, a domain distant supervised named entity recognition framework is proposed. The framework is divided into two stages: first, the distant supervised corpus is generated based on the entity linking model of graph attention neural network; secondly, the generated corpus is trained as the input of the distant supervised named entity recognition model to train to obtain named entities. The link model is verified in the ccks2019 entity link corpus, and the F1 value is 2% higher than that of the benchmark method. The re-pre-trained BERT language model is added to the benchmark method, and the results show that it is more suitable for distant supervised named entity recognition tasks. Finally, it is applied in the computer field, and the results show that this framework can obtain domain named entities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distant%20named%20entity%20recognition" title="distant named entity recognition">distant named entity recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=entity%20linking" title=" entity linking"> entity linking</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20graph" title=" knowledge graph"> knowledge graph</a>, <a href="https://publications.waset.org/abstracts/search?q=graph%20attention%20neural%20network" title=" graph attention neural network"> graph attention neural network</a> </p> <a href="https://publications.waset.org/abstracts/145772/a-framework-for-chinese-domain-specific-distant-supervised-named-entity-recognition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145772.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">93</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22101</span> Modeling of Building a Conceptual Scheme for Multimodal Freight Transportation Information System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gia%20Surguladze">Gia Surguladze</a>, <a href="https://publications.waset.org/abstracts/search?q=Nino%20Topuria"> Nino Topuria</a>, <a href="https://publications.waset.org/abstracts/search?q=Lily%20Petriashvili"> Lily Petriashvili</a>, <a href="https://publications.waset.org/abstracts/search?q=Giorgi%20Surguladze"> Giorgi Surguladze</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Modeling of building processes of a multimodal freight transportation support information system is discussed based on modern CASE technologies. Functional efficiencies of ports in the eastern part of the Black Sea are analyzed taking into account their ecological, seasonal, resource usage parameters. By resources, we mean capacities of berths, cranes, automotive transport, as well as work crews and neighbouring airports. For the purpose of designing database of computer support system for Managerial (Logistics) function, using Object-Role Modeling (ORM) tool (NORMA – Natural ORM Architecture) is proposed, after which Entity Relationship Model (ERM) is generated in automated process. The software is developed based on Process-Oriented and Service-Oriented architecture, in Visual Studio.NET environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=seaport%20resources" title="seaport resources">seaport resources</a>, <a href="https://publications.waset.org/abstracts/search?q=business-processes" title=" business-processes"> business-processes</a>, <a href="https://publications.waset.org/abstracts/search?q=multimodal%20transportation" title=" multimodal transportation"> multimodal transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=CASE%20technology" title=" CASE technology"> CASE technology</a>, <a href="https://publications.waset.org/abstracts/search?q=object-role%20model" title=" object-role model"> object-role model</a>, <a href="https://publications.waset.org/abstracts/search?q=entity%20relationship%20model" title=" entity relationship model"> entity relationship model</a>, <a href="https://publications.waset.org/abstracts/search?q=SOA" title=" SOA"> SOA</a> </p> <a href="https://publications.waset.org/abstracts/32046/modeling-of-building-a-conceptual-scheme-for-multimodal-freight-transportation-information-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32046.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">430</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22100</span> A Chinese Nested Named Entity Recognition Model Based on Lexical Features</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shuo%20Liu">Shuo Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Dan%20Liu"> Dan Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the field of named entity recognition, most of the research has been conducted around simple entities. However, for nested named entities, which still contain entities within entities, it has been difficult to identify them accurately due to their boundary ambiguity. In this paper, a hierarchical recognition model is constructed based on the grammatical structure and semantic features of Chinese text for boundary calculation based on lexical features. The analysis is carried out at different levels in terms of granularity, semantics, and lexicality, respectively, avoiding repetitive work to reduce computational effort and using the semantic features of words to calculate the boundaries of entities to improve the accuracy of the recognition work. The results of the experiments carried out on web-based microblogging data show that the model achieves an accuracy of 86.33% and an F1 value of 89.27% in recognizing nested named entities, making up for the shortcomings of some previous recognition models and improving the efficiency of recognition of nested named entities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coarse-grained" title="coarse-grained">coarse-grained</a>, <a href="https://publications.waset.org/abstracts/search?q=nested%20named%20entity" title=" nested named entity"> nested named entity</a>, <a href="https://publications.waset.org/abstracts/search?q=Chinese%20natural%20language%20processing" title=" Chinese natural language processing"> Chinese natural language processing</a>, <a href="https://publications.waset.org/abstracts/search?q=word%20embedding" title=" word embedding"> word embedding</a>, <a href="https://publications.waset.org/abstracts/search?q=T-SNE%20dimensionality%20reduction%20algorithm" title=" T-SNE dimensionality reduction algorithm"> T-SNE dimensionality reduction algorithm</a> </p> <a href="https://publications.waset.org/abstracts/156934/a-chinese-nested-named-entity-recognition-model-based-on-lexical-features" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156934.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">128</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22099</span> Multi-Stream Graph Attention Network for Recommendation with Knowledge Graph</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhifei%20Hu">Zhifei Hu</a>, <a href="https://publications.waset.org/abstracts/search?q=Feng%20Xia"> Feng Xia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, Graph neural network has been widely used in knowledge graph recommendation. The existing recommendation methods based on graph neural network extract information from knowledge graph through entity and relation, which may not be efficient in the way of information extraction. In order to better propose useful entity information for the current recommendation task in the knowledge graph, we propose an end-to-end Neural network Model based on multi-stream graph attentional Mechanism (MSGAT), which can effectively integrate the knowledge graph into the recommendation system by evaluating the importance of entities from both users and items. Specifically, we use the attention mechanism from the user's perspective to distil the domain nodes information of the predicted item in the knowledge graph, to enhance the user's information on items, and generate the feature representation of the predicted item. Due to user history, click items can reflect the user's interest distribution, we propose a multi-stream attention mechanism, based on the user's preference for entities and relationships, and the similarity between items to be predicted and entities, aggregate user history click item's neighborhood entity information in the knowledge graph and generate the user's feature representation. We evaluate our model on three real recommendation datasets: Movielens-1M (ML-1M), LFM-1B 2015 (LFM-1B), and Amazon-Book (AZ-book). Experimental results show that compared with the most advanced models, our proposed model can better capture the entity information in the knowledge graph, which proves the validity and accuracy of the model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=graph%20attention%20network" title="graph attention network">graph attention network</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20graph" title=" knowledge graph"> knowledge graph</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendation" title=" recommendation"> recommendation</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20propagation" title=" information propagation"> information propagation</a> </p> <a href="https://publications.waset.org/abstracts/150710/multi-stream-graph-attention-network-for-recommendation-with-knowledge-graph" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150710.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">116</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22098</span> Corporate Law and Its View Point of Locking in Capital</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saad%20Saeed%20Althiabi">Saad Saeed Althiabi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses the corporate positioning and how it became popular as a way to systematize production because of the unique manner in which incorporation legalized organizers to secure financial capital through locking it in. The power to lock in capital comes from the fact that a corporate exists as a separate legal entity, whose survival and governance are separated from any of its participants. The law essentially creates a different legal person when a corporation is created. Although this idea has been played down in the legal learning of the last decades in favor of the view that a corporation is purely something through which natural persons interrelate, recent legal research has begun to reassess the importance of entity status. Entity status, under the law and the related separation of governance from input of financial capital through the configuration of a corporation, sanctioned corporate participants to do somewhat more than connect in a series of business transactions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=corporate%20law" title="corporate law">corporate law</a>, <a href="https://publications.waset.org/abstracts/search?q=entity%20status" title=" entity status"> entity status</a>, <a href="https://publications.waset.org/abstracts/search?q=locking%20in%20capital" title=" locking in capital"> locking in capital</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20capital" title=" financial capital"> financial capital</a> </p> <a href="https://publications.waset.org/abstracts/23391/corporate-law-and-its-view-point-of-locking-in-capital" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23391.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">555</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22097</span> Weighted-Distance Sliding Windows and Cooccurrence Graphs for Supporting Entity-Relationship Discovery in Unstructured Text</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Paolo%20Fantozzi">Paolo Fantozzi</a>, <a href="https://publications.waset.org/abstracts/search?q=Luigi%20Laura"> Luigi Laura</a>, <a href="https://publications.waset.org/abstracts/search?q=Umberto%20Nanni"> Umberto Nanni</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The problem of Entity relation discovery in structured data, a well covered topic in literature, consists in searching within unstructured sources (typically, text) in order to find connections among entities. These can be a whole dictionary, or a specific collection of named items. In many cases machine learning and/or text mining techniques are used for this goal. These approaches might be unfeasible in computationally challenging problems, such as processing massive data streams. A faster approach consists in collecting the cooccurrences of any two words (entities) in order to create a graph of relations - a cooccurrence graph. Indeed each cooccurrence highlights some grade of semantic correlation between the words because it is more common to have related words close each other than having them in the opposite sides of the text. Some authors have used sliding windows for such problem: they count all the occurrences within a sliding windows running over the whole text. In this paper we generalise such technique, coming up to a Weighted-Distance Sliding Window, where each occurrence of two named items within the window is accounted with a weight depending on the distance between items: a closer distance implies a stronger evidence of a relationship. We develop an experiment in order to support this intuition, by applying this technique to a data set consisting in the text of the Bible, split into verses. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cooccurrence%20graph" title="cooccurrence graph">cooccurrence graph</a>, <a href="https://publications.waset.org/abstracts/search?q=entity%20relation%20graph" title=" entity relation graph"> entity relation graph</a>, <a href="https://publications.waset.org/abstracts/search?q=unstructured%20text" title=" unstructured text"> unstructured text</a>, <a href="https://publications.waset.org/abstracts/search?q=weighted%20distance" title=" weighted distance"> weighted distance</a> </p> <a href="https://publications.waset.org/abstracts/96407/weighted-distance-sliding-windows-and-cooccurrence-graphs-for-supporting-entity-relationship-discovery-in-unstructured-text" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96407.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">151</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22096</span> Little Retrieval Augmented Generation for Named Entity Recognition: Toward Lightweight, Generative, Named Entity Recognition Through Prompt Engineering, and Multi-Level Retrieval Augmented Generation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sean%20W.%20T.%20Bayly">Sean W. T. Bayly</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Glover"> Daniel Glover</a>, <a href="https://publications.waset.org/abstracts/search?q=Don%20Horrell"> Don Horrell</a>, <a href="https://publications.waset.org/abstracts/search?q=Simon%20Horrocks"> Simon Horrocks</a>, <a href="https://publications.waset.org/abstracts/search?q=Barnes%20Callum"> Barnes Callum</a>, <a href="https://publications.waset.org/abstracts/search?q=Stuart%20Gibson"> Stuart Gibson</a>, <a href="https://publications.waset.org/abstracts/search?q=Mac%20Misuira"> Mac Misuira</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We assess suitability of recent, ∼7B parameter, instruction-tuned Language Models Mistral-v0.3, Llama-3, and Phi-3, for Generative Named Entity Recognition (GNER). Our proposed Multi-Level Information Retrieval method achieves notable improvements over finetuned entity-level and sentence-level methods. We consider recent developments at the cross roads of prompt engineering and Retrieval Augmented Generation (RAG), such as EmotionPrompt. We conclude that language models directed toward this task are highly capable when distinguishing between positive classes (precision). However, smaller models seem to struggle to find all entities (recall). Poorly defined classes such as ”Miscellaneous” exhibit substantial declines in performance, likely due to the ambiguity it introduces to the prompt. This is partially resolved through a self verification method using engineered prompts containing knowledge of the stricter class definitions, particularly in areas where their boundaries are in danger of overlapping, such as the conflation between the location ”Britain” and the nationality ”British”. Finally, we explore correlations between model performance on the GNER task with performance on relevant academic benchmarks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=generative%20named%20entity%20recognition" title="generative named entity recognition">generative named entity recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20retrieval" title=" information retrieval"> information retrieval</a>, <a href="https://publications.waset.org/abstracts/search?q=lightweight%20artificial%20intelligence" title=" lightweight artificial intelligence"> lightweight artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=prompt%20engineering" title=" prompt engineering"> prompt engineering</a>, <a href="https://publications.waset.org/abstracts/search?q=personal%20information%20identification" title=" personal information identification"> personal information identification</a>, <a href="https://publications.waset.org/abstracts/search?q=retrieval%20augmented%20generation" title=" retrieval augmented generation"> retrieval augmented generation</a>, <a href="https://publications.waset.org/abstracts/search?q=self%20verification" title=" self verification"> self verification</a> </p> <a href="https://publications.waset.org/abstracts/189305/little-retrieval-augmented-generation-for-named-entity-recognition-toward-lightweight-generative-named-entity-recognition-through-prompt-engineering-and-multi-level-retrieval-augmented-generation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/189305.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">46</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22095</span> Cross-Knowledge Graph Relation Completion for Non-Isomorphic Cross-Lingual Entity Alignment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuhong%20Zhang">Yuhong Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Dan%20Lu"> Dan Lu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chenyang%20Bu"> Chenyang Bu</a>, <a href="https://publications.waset.org/abstracts/search?q=Peipei%20Li"> Peipei Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Kui%20Yu"> Kui Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Xindong%20Wu"> Xindong Wu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Cross-Lingual Entity Alignment (CLEA) task aims to find the aligned entities that refer to the same identity from two knowledge graphs (KGs) in different languages. It is an effective way to enhance the performance of data mining for KGs with scarce resources. In real-world applications, the neighborhood structures of the same entities in different KGs tend to be non-isomorphic, which makes the representation of entities contain diverse semantic information and then poses a great challenge for CLEA. In this paper, we try to address this challenge from two perspectives. On the one hand, the cross-KG relation completion rules are designed with the alignment constraint of entities and relations to improve the topology isomorphism of two KGs. On the other hand, a representation method combining isomorphic weights is designed to include more isomorphic semantics for counterpart entities, which will benefit the CLEA. Experiments show that our model can improve the isomorphism of two KGs and the alignment performance, especially for two non-isomorphic KGs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20graphs" title="knowledge graphs">knowledge graphs</a>, <a href="https://publications.waset.org/abstracts/search?q=cross-lingual%20entity%20alignment" title=" cross-lingual entity alignment"> cross-lingual entity alignment</a>, <a href="https://publications.waset.org/abstracts/search?q=non-isomorphic" title=" non-isomorphic"> non-isomorphic</a>, <a href="https://publications.waset.org/abstracts/search?q=relation%20completion" title=" relation completion"> relation completion</a> </p> <a href="https://publications.waset.org/abstracts/155961/cross-knowledge-graph-relation-completion-for-non-isomorphic-cross-lingual-entity-alignment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155961.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">122</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22094</span> Structural Equation Modeling Semiparametric Truncated Spline Using Simulation Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adji%20Achmad%20Rinaldo%20Fernandes">Adji Achmad Rinaldo Fernandes</a> </p> <p class="card-text"><strong>Abstract:</strong></p> SEM analysis is a complex multivariate analysis because it involves a number of exogenous and endogenous variables that are interconnected to form a model. The measurement model is divided into two, namely, the reflective model (reflecting) and the formative model (forming). Before carrying out further tests on SEM, there are assumptions that must be met, namely the linearity assumption, to determine the form of the relationship. There are three modeling approaches to path analysis, including parametric, nonparametric and semiparametric approaches. The aim of this research is to develop semiparametric SEM and obtain the best model. The data used in the research is secondary data as the basis for the process of obtaining simulation data. Simulation data was generated with various sample sizes of 100, 300, and 500. In the semiparametric SEM analysis, the form of the relationship studied was determined, namely linear and quadratic and determined one and two knot points with various levels of error variance (EV=0.5; 1; 5). There are three levels of closeness of relationship for the analysis process in the measurement model consisting of low (0.1-0.3), medium (0.4-0.6) and high (0.7-0.9) levels of closeness. The best model lies in the form of the relationship X1Y1 linear, and. In the measurement model, a characteristic of the reflective model is obtained, namely that the higher the closeness of the relationship, the better the model obtained. The originality of this research is the development of semiparametric SEM, which has not been widely studied by researchers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=semiparametric%20SEM" title="semiparametric SEM">semiparametric SEM</a>, <a href="https://publications.waset.org/abstracts/search?q=measurement%20model" title=" measurement model"> measurement model</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20model" title=" structural model"> structural model</a>, <a href="https://publications.waset.org/abstracts/search?q=reflective%20model" title=" reflective model"> reflective model</a>, <a href="https://publications.waset.org/abstracts/search?q=formative%20model" title=" formative model"> formative model</a> </p> <a href="https://publications.waset.org/abstracts/186757/structural-equation-modeling-semiparametric-truncated-spline-using-simulation-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186757.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">40</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22093</span> On Parameter Estimation of Simultaneous Linear Functional Relationship Model for Circular Variables</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20A.%20Mokhtar">N. A. Mokhtar</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20G.%20Hussin"> A. G. Hussin</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Z.%20Zubairi"> Y. Z. Zubairi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes a new simultaneous simple linear functional relationship model by assuming equal error variances. We derive the maximum likelihood estimate of the parameters in the simultaneous model and the covariance. We show by simulation study the small bias values of the parameters suggest the suitability of the estimation method. As an illustration, the proposed simultaneous model is applied to real data of the wind direction and wave direction measured by two different instruments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=simultaneous%20linear%20functional%20relationship%20model" title="simultaneous linear functional relationship model">simultaneous linear functional relationship model</a>, <a href="https://publications.waset.org/abstracts/search?q=Fisher%20information%20matrix" title="Fisher information matrix">Fisher information matrix</a>, <a href="https://publications.waset.org/abstracts/search?q=parameter%20estimation" title=" parameter estimation"> parameter estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=circular%20variables" title=" circular variables"> circular variables</a> </p> <a href="https://publications.waset.org/abstracts/44385/on-parameter-estimation-of-simultaneous-linear-functional-relationship-model-for-circular-variables" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44385.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">366</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22092</span> Temperament and Character Dimensions as Personality Predictors of Relationship Quality: An Actor-Partner Interdependence Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dora%20Vajda">Dora Vajda</a>, <a href="https://publications.waset.org/abstracts/search?q=Somayyeh%20Mohammadi"> Somayyeh Mohammadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sandor%20Rozsa"> Sandor Rozsa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Predicting the relationship satisfaction based on the personality characteristics of both partners has a long history. The association between relationship quality and personality traits has been previously demonstrated. Personality traits are most commonly assessed using the Five-Factor Model. The present study has focused on Cloninger's psychobiological model of personality that accounts for dimensions of both temperament and character. The goal of this study was to examine the actor and partner effect of couple's personality on relationship outcomes. In total, 184 heterosexual couples completed the Temperament and Character Inventory (TCI) and the Dyadic Adjustment Scale. The analysis was based on Actor-Partner Interdependence Model (APIM) using multilevel modeling (MLwiN). Results showed that character dimensions Self-Directedness and Cooperativeness had a statistically meaningful actor and partner effect on both partner's relationship quality. However, male's personality temperament dimension Reward Dependence had an only actor effect on his relationship quality. The findings contribute to the literature by highlighting the role of character dimensions of personality in romantic relationships. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=APIM%20%28actor-partner%20interdependence%20model%29" title="APIM (actor-partner interdependence model)">APIM (actor-partner interdependence model)</a>, <a href="https://publications.waset.org/abstracts/search?q=MLwiN" title=" MLwiN"> MLwiN</a>, <a href="https://publications.waset.org/abstracts/search?q=personality" title=" personality"> personality</a>, <a href="https://publications.waset.org/abstracts/search?q=relationship%20quality" title=" relationship quality"> relationship quality</a> </p> <a href="https://publications.waset.org/abstracts/50712/temperament-and-character-dimensions-as-personality-predictors-of-relationship-quality-an-actor-partner-interdependence-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50712.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">414</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22091</span> Domain specific Ontology-Based Knowledge Extraction Using R-GNN and Large Language Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrey%20Khalov">Andrey Khalov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The rapid proliferation of unstructured data in IT infrastructure management demands innovative approaches for extracting actionable knowledge. This paper presents a framework for ontology-based knowledge extraction that combines relational graph neural networks (R-GNN) with large language models (LLMs). The proposed method leverages the DOLCE framework as the foundational ontology, extending it with concepts from ITSMO for domain-specific applications in IT service management and outsourcing. A key component of this research is the use of transformer-based models, such as DeBERTa-v3-large, for automatic entity and relationship extraction from unstructured texts. Furthermore, the paper explores how transfer learning techniques can be applied to fine-tune large language models (LLaMA) for using to generate synthetic datasets to improve precision in BERT-based entity recognition and ontology alignment. The resulting IT Ontology (ITO) serves as a comprehensive knowledge base that integrates domain-specific insights from ITIL processes, enabling more efficient decision-making. Experimental results demonstrate significant improvements in knowledge extraction and relationship mapping, offering a cutting-edge solution for enhancing cognitive computing in IT service environments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ontology%20mapping" title="ontology mapping">ontology mapping</a>, <a href="https://publications.waset.org/abstracts/search?q=R-GNN" title=" R-GNN"> R-GNN</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20extraction" title=" knowledge extraction"> knowledge extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=large%20language%20models" title=" large language models"> large language models</a>, <a href="https://publications.waset.org/abstracts/search?q=NER" title=" NER"> NER</a>, <a href="https://publications.waset.org/abstracts/search?q=knowlege%20graph" title=" knowlege graph"> knowlege graph</a> </p> <a href="https://publications.waset.org/abstracts/192578/domain-specific-ontology-based-knowledge-extraction-using-r-gnn-and-large-language-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192578.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">16</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22090</span> The Communication of Audit Report: Key Audit Matters in United Kingdom</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=L.%20Sierra">L. Sierra</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Gambetta"> N. Gambetta</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Garcia-Benau"> M. A. Garcia-Benau</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Orta"> M. Orta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Financial scandals and financial crisis have led to an international debate on the value of auditing. In recent years there have been significant legislative reforms aiming to increase markets’ confidence in audit services. In particular, there has been a significant debate on the need to improve the communication of auditors with audit reports users as a way to improve its informative value and thus, to improve audit quality. The International Auditing and Assurance Standards Board (IAASB) has proposed changes to the audit report standards. The International Standard on Auditing 701, Communicating Key Audit Matters (KAM) in the Independent Auditor's Report, has introduced new concepts that go beyond the auditor's opinion and requires to disclose the risks that, from the auditor's point of view, are more significant in the audited company information. Focusing on the companies included in the Financial Times Stock Exchange 100 index, this study aims to focus on the analysis of the determinants of the number of KAM disclosed by the auditor in the audit report and moreover, the analysis of the determinants of the different type of KAM reported during the period 2013-2015. To test the hypotheses in the empirical research, two different models have been used. The first one is a linear regression model to identify the client’s characteristics, industry sector and auditor’s characteristics that are related to the number of KAM disclosed in the audit report. Secondly, a logistic regression model is used to identify the determinants of the number of each KAM type disclosed in the audit report; in line with the risk-based approach to auditing financial statements, we categorized the KAM in 2 groups: Entity-level KAM and Accounting-level KAM. Regarding the auditor’s characteristics impact on the KAM disclosure, the results show that PwC tends to report a larger number of KAM while KPMG tends to report less KAM in the audit report. Further, PwC reports a larger number of entity-level risk KAM while KPMG reports less account-level risk KAM. The results also show that companies paying higher fees tend to have more entity-level risk KAM and less account-level risk KAM. The materiality level is positively related to the number of account-level risk KAM. Additionally, these study results show that the relationship between client’s characteristics and number of KAM is more evident in account-level risk KAM than in entity-level risk KAM. A highly leveraged company carries a great deal of risk, but due to this, they are usually subject to strong capital providers monitoring resulting in less account-level risk KAM. The results reveal that the number of account-level risk KAM is strongly related to the industry sector in which the company operates assets. This study helps to understand the UK audit market, provides information to auditors and finally, it opens new research avenues in the academia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=FTSE%20100" title="FTSE 100">FTSE 100</a>, <a href="https://publications.waset.org/abstracts/search?q=IAS%20701" title=" IAS 701"> IAS 701</a>, <a href="https://publications.waset.org/abstracts/search?q=key%20audit%20matters" title=" key audit matters"> key audit matters</a>, <a href="https://publications.waset.org/abstracts/search?q=auditor%E2%80%99s%20characteristics" title=" auditor’s characteristics"> auditor’s characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=client%E2%80%99s%20characteristics" title=" client’s characteristics"> client’s characteristics</a> </p> <a href="https://publications.waset.org/abstracts/91924/the-communication-of-audit-report-key-audit-matters-in-united-kingdom" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91924.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">231</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22089</span> The Theory of the Mystery: Unifying the Quantum and Cosmic Worlds</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Md.%20Najiur%20Rahman">Md. Najiur Rahman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This hypothesis reveals a profound and symmetrical connection that goes beyond the boundaries of quantum physics and cosmology, revolutionizing our understanding of the fundamental building blocks of the cosmos, given its name ‘The Theory of the Mystery’. This theory has an elegantly simple equation, “R = ∆r / √∆m” which establishes a beautiful and well-crafted relationship between the radius (R) of an elementary particle or galaxy, the relative change in radius (∆r), and the mass difference (∆m) between related entities. It is fascinating to note that this formula presents a super synchronization, one which involves the convergence of every basic particle and any single celestial entity into perfect alignment with its respective mass and radius. In addition, we have a Supporting equation that defines the mass-radius connection of an entity by the equation: R=√m/N, where N is an empirically established constant, determined to be approximately 42.86 kg/m, representing the proportionality between mass and radius. It provides precise predictions, collects empirical evidence, and explores the far-reaching consequences of theories such as General Relativity. This elegant symmetry reveals a fundamental principle that underpins the cosmos: each component, whether small or large, follows a precise mass-radius relationship to exert gravity by a universal law. This hypothesis represents a transformative process towards a unified theory of physics, and the pursuit of experimental verification will show that each particle and galaxy is bound by gravity and plays a unique but harmonious role in shaping the universe. It promises to reveal the great symphony of the mighty cosmos. The predictive power of our hypothesis invites the exploration of entities at the farthest reaches of the cosmos, providing a bridge between the known and the unknown. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=unified%20theory" title="unified theory">unified theory</a>, <a href="https://publications.waset.org/abstracts/search?q=quantum%20gravity" title=" quantum gravity"> quantum gravity</a>, <a href="https://publications.waset.org/abstracts/search?q=mass-radius%20relationship" title=" mass-radius relationship"> mass-radius relationship</a>, <a href="https://publications.waset.org/abstracts/search?q=dark%20matter" title=" dark matter"> dark matter</a>, <a href="https://publications.waset.org/abstracts/search?q=uniform%20gravity" title=" uniform gravity"> uniform gravity</a> </p> <a href="https://publications.waset.org/abstracts/181476/the-theory-of-the-mystery-unifying-the-quantum-and-cosmic-worlds" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/181476.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">105</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22088</span> “Octopub”: Geographical Sentiment Analysis Using Named Entity Recognition from Social Networks for Geo-Targeted Billboard Advertising</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oussama%20Hafferssas">Oussama Hafferssas</a>, <a href="https://publications.waset.org/abstracts/search?q=Hiba%20Benyahia"> Hiba Benyahia</a>, <a href="https://publications.waset.org/abstracts/search?q=Amina%20Madani"> Amina Madani</a>, <a href="https://publications.waset.org/abstracts/search?q=Nassima%20Zeriri"> Nassima Zeriri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Although data nowadays has multiple forms; from text to images, and from audio to videos, yet text is still the most used one at a public level. At an academical and research level, and unlike other forms, text can be considered as the easiest form to process. Therefore, a brunch of Data Mining researches has been always under its shadow, called "Text Mining". Its concept is just like data mining’s, finding valuable patterns in data, from large collections and tremendous volumes of data, in this case: Text. Named entity recognition (NER) is one of Text Mining’s disciplines, it aims to extract and classify references such as proper names, locations, expressions of time and dates, organizations and more in a given text. Our approach "Octopub" does not aim to find new ways to improve named entity recognition process, rather than that it’s about finding a new, and yet smart way, to use NER in a way that we can extract sentiments of millions of people using Social Networks as a limitless information source, and Marketing for product promotion as the main domain of application. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=textmining" title="textmining">textmining</a>, <a href="https://publications.waset.org/abstracts/search?q=named%20entity%20recognition%28NER%29" title=" named entity recognition(NER)"> named entity recognition(NER)</a>, <a href="https://publications.waset.org/abstracts/search?q=sentiment%20analysis" title=" sentiment analysis"> sentiment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media%20networks%20%28SN" title=" social media networks (SN"> social media networks (SN</a>, <a href="https://publications.waset.org/abstracts/search?q=SMN%29" title="SMN)">SMN)</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20intelligence%28BI%29" title=" business intelligence(BI)"> business intelligence(BI)</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing" title=" marketing"> marketing</a> </p> <a href="https://publications.waset.org/abstracts/15721/octopub-geographical-sentiment-analysis-using-named-entity-recognition-from-social-networks-for-geo-targeted-billboard-advertising" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15721.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">589</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22087</span> The Role of Named Entity Recognition for Information Extraction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Girma%20Yohannis%20Bade">Girma Yohannis Bade</a>, <a href="https://publications.waset.org/abstracts/search?q=Olga%20Kolesnikova"> Olga Kolesnikova</a>, <a href="https://publications.waset.org/abstracts/search?q=Grigori%20Sidorov"> Grigori Sidorov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Named entity recognition (NER) is a building block for information extraction. Though the information extraction process has been automated using a variety of techniques to find and extract a piece of relevant information from unstructured documents, the discovery of targeted knowledge still poses a number of research difficulties because of the variability and lack of structure in Web data. NER, a subtask of information extraction (IE), came to exist to smooth such difficulty. It deals with finding the proper names (named entities), such as the name of the person, country, location, organization, dates, and event in a document, and categorizing them as predetermined labels, which is an initial step in IE tasks. This survey paper presents the roles and importance of NER to IE from the perspective of different algorithms and application area domains. Thus, this paper well summarizes how researchers implemented NER in particular application areas like finance, medicine, defense, business, food science, archeology, and so on. It also outlines the three types of sequence labeling algorithms for NER such as feature-based, neural network-based, and rule-based. Finally, the state-of-the-art and evaluation metrics of NER were presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=the%20role%20of%20NER" title="the role of NER">the role of NER</a>, <a href="https://publications.waset.org/abstracts/search?q=named%20entity%20recognition" title=" named entity recognition"> named entity recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20extraction" title=" information extraction"> information extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=sequence%20labeling%20algorithms" title=" sequence labeling algorithms"> sequence labeling algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=named%20entity%20application%20area" title=" named entity application area"> named entity application area</a> </p> <a href="https://publications.waset.org/abstracts/174225/the-role-of-named-entity-recognition-for-information-extraction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174225.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">80</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22086</span> Ontology Expansion via Synthetic Dataset Generation and Transformer-Based Concept Extraction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andrey%20Khalov">Andrey Khalov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The rapid proliferation of unstructured data in IT infrastructure management demands innovative approaches for extracting actionable knowledge. This paper presents a framework for ontology-based knowledge extraction that combines relational graph neural networks (R-GNN) with large language models (LLMs). The proposed method leverages the DOLCE framework as the foundational ontology, extending it with concepts from ITSMO for domain-specific applications in IT service management and outsourcing. A key component of this research is the use of transformer-based models, such as DeBERTa-v3-large, for automatic entity and relationship extraction from unstructured texts. Furthermore, the paper explores how transfer learning techniques can be applied to fine-tune large language models (LLaMA) for using to generate synthetic datasets to improve precision in BERT-based entity recognition and ontology alignment. The resulting IT Ontology (ITO) serves as a comprehensive knowledge base that integrates domain-specific insights from ITIL processes, enabling more efficient decision-making. Experimental results demonstrate significant improvements in knowledge extraction and relationship mapping, offering a cutting-edge solution for enhancing cognitive computing in IT service environments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ontology%20expansion" title="ontology expansion">ontology expansion</a>, <a href="https://publications.waset.org/abstracts/search?q=synthetic%20dataset" title=" synthetic dataset"> synthetic dataset</a>, <a href="https://publications.waset.org/abstracts/search?q=transformer%20fine-tuning" title=" transformer fine-tuning"> transformer fine-tuning</a>, <a href="https://publications.waset.org/abstracts/search?q=concept%20extraction" title=" concept extraction"> concept extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=DOLCE" title=" DOLCE"> DOLCE</a>, <a href="https://publications.waset.org/abstracts/search?q=BERT" title=" BERT"> BERT</a>, <a href="https://publications.waset.org/abstracts/search?q=taxonomy" title=" taxonomy"> taxonomy</a>, <a href="https://publications.waset.org/abstracts/search?q=LLM" title=" LLM"> LLM</a>, <a href="https://publications.waset.org/abstracts/search?q=NER" title=" NER"> NER</a> </p> <a href="https://publications.waset.org/abstracts/192579/ontology-expansion-via-synthetic-dataset-generation-and-transformer-based-concept-extraction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192579.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">14</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22085</span> Surface to the Deeper: A Universal Entity Alignment Approach Focusing on Surface Information</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zheng%20Baichuan">Zheng Baichuan</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Shenghui"> Li Shenghui</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Bingqian"> Li Bingqian</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhang%20Ning"> Zhang Ning</a>, <a href="https://publications.waset.org/abstracts/search?q=Chen%20Kai"> Chen Kai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Entity alignment (EA) tasks in knowledge graphs often play a pivotal role in the integration of knowledge graphs, where structural differences often exist between the source and target graphs, such as the presence or absence of attribute information and the types of attribute information (text, timestamps, images, etc.). However, most current research efforts are focused on improving alignment accuracy, often along with an increased reliance on specific structures -a dependency that inevitably diminishes their practical value and causes difficulties when facing knowledge graph alignment tasks with varying structures. Therefore, we propose a universal knowledge graph alignment approach that only utilizes the common basic structures shared by knowledge graphs. We have demonstrated through experiments that our method achieves state-of-the-art performance in fair comparisons. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20graph" title="knowledge graph">knowledge graph</a>, <a href="https://publications.waset.org/abstracts/search?q=entity%20alignment" title=" entity alignment"> entity alignment</a>, <a href="https://publications.waset.org/abstracts/search?q=transformer" title=" transformer"> transformer</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a> </p> <a href="https://publications.waset.org/abstracts/185816/surface-to-the-deeper-a-universal-entity-alignment-approach-focusing-on-surface-information" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185816.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">45</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22084</span> Unsupervised Learning with Self-Organizing Maps for Named Entity Recognition in the CONLL2003 Dataset</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Assel%20Jaxylykova">Assel Jaxylykova</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexnder%20Pak"> Alexnder Pak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study utilized a Self-Organizing Map (SOM) for unsupervised learning on the CONLL-2003 dataset for Named Entity Recognition (NER). The process involved encoding words into 300-dimensional vectors using FastText. These vectors were input into a SOM grid, where training adjusted node weights to minimize distances. The SOM provided a topological representation for identifying and clustering named entities, demonstrating its efficacy without labeled examples. Results showed an F1-measure of 0.86, highlighting SOM's viability. Although some methods achieve higher F1 measures, SOM eliminates the need for labeled data, offering a scalable and efficient alternative. The SOM's ability to uncover hidden patterns provides insights that could enhance existing supervised methods. Further investigation into potential limitations and optimization strategies is suggested to maximize benefits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=named%20entity%20recognition" title="named entity recognition">named entity recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20language%20processing" title=" natural language processing"> natural language processing</a>, <a href="https://publications.waset.org/abstracts/search?q=self-organizing%20map" title=" self-organizing map"> self-organizing map</a>, <a href="https://publications.waset.org/abstracts/search?q=CONLL-2003" title=" CONLL-2003"> CONLL-2003</a>, <a href="https://publications.waset.org/abstracts/search?q=semantics" title=" semantics"> semantics</a> </p> <a href="https://publications.waset.org/abstracts/188422/unsupervised-learning-with-self-organizing-maps-for-named-entity-recognition-in-the-conll2003-dataset" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188422.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">45</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22083</span> The Role of ICT for Income Inequality: The Model and the Simulations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shoji%20Katagiri">Shoji Katagiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper is to clarify the relationship between ICT and income inequality. To do so, we develop the general equilibrium model with ICT investment, obtain the equilibrium solutions, and then simulate the model with these solutions for some OECD countries. As a result, generally, during the corresponding periods we confirm that the relationship between ICT investment and income inequality is positive. In this mode, the increment of the ratio of ICT investment to the aggregated investment in stock enhances the capital’s share of income, and finally leads to income inequality such as the increase of the share of the top decile income. Although we confirm the positive relationship between ICT investment and income inequality, the upward trend for that relationship depends on the values of parameters for the making use of the simulations and these parameters are not deterministic in the magnitudes on the calculated results for the simulations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ICT" title="ICT">ICT</a>, <a href="https://publications.waset.org/abstracts/search?q=inequality" title=" inequality"> inequality</a>, <a href="https://publications.waset.org/abstracts/search?q=capital%20accumulation" title=" capital accumulation"> capital accumulation</a>, <a href="https://publications.waset.org/abstracts/search?q=technology" title=" technology"> technology</a> </p> <a href="https://publications.waset.org/abstracts/82723/the-role-of-ict-for-income-inequality-the-model-and-the-simulations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82723.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">221</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22082</span> Management and Agreement Protocol in Computer Security</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulameer%20K.%20Hussain">Abdulameer K. Hussain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> When dealing with a cryptographic system we note that there are many activities performed by parties of this cryptographic system and the most prominent of these activities is the process of agreement between the parties involved in the cryptographic system on how to deal and perform the cryptographic system tasks to be more secure, more confident and reliable. The most common agreement among parties is a key agreement and other types of agreements. Despite the fact that there is an attempt from some quarters to find other effective agreement methods but these methods are limited to the traditional agreements. This paper presents different parameters to perform more effectively the task of the agreement, including the key alternative, the agreement on the encryption method used and the agreement to prevent the denial of the services. To manage and achieve these goals, this method proposes the existence of an control and monitoring entity to manage these agreements by collecting different statistical information of the opinions of the authorized parties in the cryptographic system. These statistics help this entity to take the proper decision about the agreement factors. This entity is called Agreement Manager (AM). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agreement%20parameters" title="agreement parameters">agreement parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=key%20agreement" title=" key agreement"> key agreement</a>, <a href="https://publications.waset.org/abstracts/search?q=key%20exchange" title=" key exchange"> key exchange</a>, <a href="https://publications.waset.org/abstracts/search?q=security%20management" title=" security management"> security management</a> </p> <a href="https://publications.waset.org/abstracts/22759/management-and-agreement-protocol-in-computer-security" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22759.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">421</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22081</span> Assessing Effectiveness of Manager-Subordinate Relationships at Workplace</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anant%20Sagar">Anant Sagar</a>, <a href="https://publications.waset.org/abstracts/search?q=Manisha%20Rana"> Manisha Rana</a>, <a href="https://publications.waset.org/abstracts/search?q=Surabhi%20Singhal"> Surabhi Singhal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study was aimed at analysing the effectiveness of manager-subordinate relationship and the different factors contributing to its effectiveness in a mid-sized IT organization. To define effectiveness in context of a manager-subordinate relationship, a model was framed which analyses personal and professional need fulfilment of subordinates. On basis of this need satisfaction based effectiveness model, relationships are categorized into four types anchored on two scales; Personal Need Satisfaction and Professional Need Satisfaction. These spatial effectiveness scores of a managerial relationship are further mapped with the relationship style of the manager to identify relationship styles which are associated with different effectiveness levels. The relationship style is analysed by using Impact Message Inventory-Circumplex (IMI-C). The results show that managerial relationship’s effectiveness is contingent on manager’s affiliation scores, subordinate’s previous work experience and the ability of managers to influence the personal and professional needs of employees through organizational policies. The findings reflect that effectiveness of manager-subordinate relationship increased in a friendly workplace where managers were adequately empowered to acknowledge employee needs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=relationship%20effectiveness" title="relationship effectiveness">relationship effectiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=need%20fulfilment" title=" need fulfilment"> need fulfilment</a>, <a href="https://publications.waset.org/abstracts/search?q=managerial%20style" title=" managerial style"> managerial style</a>, <a href="https://publications.waset.org/abstracts/search?q=impact%20message%20inventory-circumplex" title=" impact message inventory-circumplex"> impact message inventory-circumplex</a> </p> <a href="https://publications.waset.org/abstracts/4397/assessing-effectiveness-of-manager-subordinate-relationships-at-workplace" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4397.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">380</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22080</span> How Accountants Can Save the World</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Todd%20Sayre">Todd Sayre</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The proprietary balance sheet represents equity as the shareholders’ net worth. FASB (1985) codified the proprietary format with the justification that shareholders, like partners and proprietors, owned and had “ownership interests” in the net assets. The results of the hypotheses tests imply that shareholders do not resemble owners nor do they have ownership interests in the net assets. Accordingly, the paper argues that replacing the proprietary format with an entity format in corporate reporting would not only help corporate reports to be more representationally faithful, but would also help people to recognize that are entities onto themselves. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=proprietary%20theory" title="proprietary theory">proprietary theory</a>, <a href="https://publications.waset.org/abstracts/search?q=entity%20theory" title=" entity theory"> entity theory</a>, <a href="https://publications.waset.org/abstracts/search?q=earned%20capital%20approach" title=" earned capital approach"> earned capital approach</a>, <a href="https://publications.waset.org/abstracts/search?q=corporate%20governance" title=" corporate governance"> corporate governance</a> </p> <a href="https://publications.waset.org/abstracts/190185/how-accountants-can-save-the-world" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190185.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">21</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22079</span> Anthropocentric and Ecocentric Representation of Human-Environment Relationship in Paulo Coelho's the Alchemist</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tooba%20Sabir">Tooba Sabir</a>, <a href="https://publications.waset.org/abstracts/search?q=Namra%20Sabir"> Namra Sabir</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Amjad%20Sabir"> Mohammad Amjad Sabir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The human-environment relationship has been projected since the beginning of literary tradition i.e. pastoral tradition, however, the interest of critics, writers and poets, in this view, has been developed, since the last couple of decades because of the increasing scope of environmental studies and growing environmental issues. One such novel, that projects human-environment relationship, is ‘The Alchemist.’ It is Paulo Coelho’s one of the most read novels. It holds a central theme that the universe conspires to help a person achieve his destiny, projecting anthropocentrism and human domination by centralizing human and devaluing the intrinsic worth of ecosystem. However, ecocritical analysis of the text reveals that the novel contains, at several instances, ecocentrism as well e.g. ‘everything on earth is being continuously transformed because earth is alive.’ This portrays ecosphere as living and dynamic entity rather than a mere instrument for human to achieve his destiny. The idea that the universe shares the same language projects unity of nature showing the relationship between human and non-human aspects of the environment as one being and not separate or superior to one another. It depicts human as a part of the environment and not the lord of the world. Therefore, it can be concluded that the novel oscillates between both the ecocentric and the anthropocentric phenomena. It is not suggested, however, that one phenomenon should be valued over the other but that the complexities of both the phenomena should be recognized, acknowledged and valued in order to encourage the interactions between literature and environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropocentrism" title="anthropocentrism">anthropocentrism</a>, <a href="https://publications.waset.org/abstracts/search?q=ecocentrism" title=" ecocentrism"> ecocentrism</a>, <a href="https://publications.waset.org/abstracts/search?q=ecocritical%20analysis" title=" ecocritical analysis"> ecocritical analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=human-environment%20relationship" title=" human-environment relationship"> human-environment relationship</a> </p> <a href="https://publications.waset.org/abstracts/72371/anthropocentric-and-ecocentric-representation-of-human-environment-relationship-in-paulo-coelhos-the-alchemist" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72371.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">313</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22078</span> Gratitude, Forgiveness and Relationship Satisfaction in Dating College Students: A Parallel Multiple Mediator Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qinglu%20Wu">Qinglu Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Anna%20Wai-Man%20Choi"> Anna Wai-Man Choi</a>, <a href="https://publications.waset.org/abstracts/search?q=Peilian%20Chi"> Peilian Chi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Gratitude is one individual strength that not only facilitates the mental health, but also fosters the relationship satisfaction in the romantic relationship. In terms of moral effect theory and stress-and-coping theory of forgiveness, present study not only investigated the association between grateful disposition and relationship satisfaction, but also explored the mechanism by comprehensively examining the potential mediating roles of three profiles of forgiveness (trait forgivingness, decisional forgiveness, emotional forgiveness), another character strength that highly related to the gratitude and relationship satisfaction. Structural equation modeling was used to conduct the multiple mediator model with a sample of 103 Chinese college students in dating relationship (39 male students and 64 female students, Mage = 19.41, SD = 1.34). Findings displayed that both gratitude and relationship satisfaction positively correlated with decisional forgiveness and emotional forgiveness. Emotional forgiveness was the only mediator, and it completely mediated the relationship between gratitude and relationship satisfaction. Gratitude was helpful in enhancing individuals’ perception of satisfaction in romantic relationship through replacing negative emotions toward partners with positive ones after transgression in daily life. It highlighted the function of emotional forgiveness in personal healing and peaceful state, which is important to the perception of satisfaction in relationship. Findings not only suggested gratitude could provide a stability for forgiveness, but also the mechanism of prosocial responses or positive psychological processes on relationship satisfaction. The significant roles of gratitude and emotional forgiveness could be emphasized in the intervention working on the romantic relationship development or reconciliation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decisional%20forgiveness" title="decisional forgiveness">decisional forgiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=emotional%20forgiveness" title=" emotional forgiveness"> emotional forgiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=gratitude" title=" gratitude"> gratitude</a>, <a href="https://publications.waset.org/abstracts/search?q=relationship%20satisfaction" title=" relationship satisfaction"> relationship satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=trait%20forgivingness" title=" trait forgivingness"> trait forgivingness</a> </p> <a href="https://publications.waset.org/abstracts/75384/gratitude-forgiveness-and-relationship-satisfaction-in-dating-college-students-a-parallel-multiple-mediator-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75384.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">272</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22077</span> The Relationship between Interpersonal Relationship and the Subjective Well-Being of Chinese Primary and Secondary Teachers: A Mediated Moderation Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xuling%20Zhang">Xuling Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong%20Wang"> Yong Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xingyun%20Liu"> Xingyun Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuangxue%20Xu"> Shuangxue Xu </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Based on positive psychology, this study presented a mediated moderation model in which character strengths moderated the relationship between interpersonal relationship, job satisfaction and subjective well-being, with job satisfaction taking the mediation role among them. A total of 912 teachers participated in four surveys, which include the Oxford Happiness Questionnaire, Values in Action Inventory of Strengths, job satisfaction questionnaire, and the interpersonal relationship questionnaire. The results indicated that: (1) Taking interpersonal relationship as a typical work environmental variable, the result shows that it is significantly correlated to subjective well-being. (2) The character strengths of "kindness", “authenticity” moderated the effect of the teachers’ interpersonal relationship on subjective well-being. (3) The teachers’ job satisfaction mediated the above mentioned moderation effects. In general, this study shows that the teachers’ interpersonal relationship affects their subjective well-being, with their job satisfaction as mediation and character strengths of “kindness” and “authenticity” as moderation. The managerial implications were also discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=character%20strength" title="character strength">character strength</a>, <a href="https://publications.waset.org/abstracts/search?q=subjective%20well-being" title=" subjective well-being"> subjective well-being</a>, <a href="https://publications.waset.org/abstracts/search?q=job%20satisfaction" title=" job satisfaction"> job satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=interpersonal%20relationship" title=" interpersonal relationship"> interpersonal relationship</a> </p> <a href="https://publications.waset.org/abstracts/48513/the-relationship-between-interpersonal-relationship-and-the-subjective-well-being-of-chinese-primary-and-secondary-teachers-a-mediated-moderation-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48513.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">308</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22076</span> An Investigation of Customer Relationship Management of Tourism</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wanida%20Suwunniponth">Wanida Suwunniponth</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research paper aimed to developing a causal relationship model of success factors of customer relationship management of tourism in Thailand and to investigating relationships among the potential factors that facilitate the success of customer relationship management (CRM). The research was conducted in both quantitative and qualitative methods, by utilizing both questionnaire and in-depth interview. The questionnaire was used in collecting the data from 250 management staff in the hotels located within Bangkok area. Sampling techniques used in this research included cluster sampling according to the service quality and simple random sampling. The data input was analyzed by use of descriptive analysis and System Equation Model (SEM). The research findings demonstrated important factors accentuated by most respondents towards the success of CRM, which were organization, people, information technology and the process of CRM. Moreover, the customer relationship management of tourism business in Thailand was found to be successful at a very significant level. The hypothesis testing showed that the hypothesis was accepted, as the factors concerning with organization, people and information technology played an influence on the process and the success of customer relationship management, whereas the process of customer relationship management factor manipulated its success. The findings suggested that tourism business in Thailand with the implementation of customer relationship management should opt in improvement approach in terms of managerial structure, corporate culture building with customer- centralized approach accentuated, and investment of information technology and customer analysis, in order to capacitate higher efficiency of customer relationship management process that would result in customer satisfaction and retention of service. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=customer%20relationship%20management" title="customer relationship management">customer relationship management</a>, <a href="https://publications.waset.org/abstracts/search?q=casual%20relationship%20model" title=" casual relationship model"> casual relationship model</a>, <a href="https://publications.waset.org/abstracts/search?q=tourism" title=" tourism"> tourism</a>, <a href="https://publications.waset.org/abstracts/search?q=Thailand" title=" Thailand"> Thailand</a> </p> <a href="https://publications.waset.org/abstracts/9716/an-investigation-of-customer-relationship-management-of-tourism" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9716.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">330</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22075</span> Automated Detection of Related Software Changes by Probabilistic Neural Networks Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuan%20Huang">Yuan Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiangping%20Chen"> Xiangping Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaonan%20Luo"> Xiaonan Luo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Current software are continuously updating. The change between two versions usually involves multiple program entities (e.g., packages, classes, methods, attributes) with multiple purposes (e.g., changed requirements, bug fixing). It is hard for developers to understand which changes are made for the same purpose. Whether two changes are related is not decided by the relationship between this two entities in the program. In this paper, we summarized 4 coupling rules(16 instances) and 4 state-combination types at the class, method and attribute levels for software change. Related Change Vector (RCV) are defined based on coupling rules and state-combination types, and applied to classify related software changes by using Probabilistic Neural Network during a software updating. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PNN" title="PNN">PNN</a>, <a href="https://publications.waset.org/abstracts/search?q=related%20change" title=" related change"> related change</a>, <a href="https://publications.waset.org/abstracts/search?q=state-combination" title=" state-combination"> state-combination</a>, <a href="https://publications.waset.org/abstracts/search?q=logical%20coupling" title=" logical coupling"> logical coupling</a>, <a href="https://publications.waset.org/abstracts/search?q=software%20entity" title=" software entity"> software entity</a> </p> <a href="https://publications.waset.org/abstracts/10601/automated-detection-of-related-software-changes-by-probabilistic-neural-networks-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10601.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">436</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22074</span> Research on the Teaching Quality Evaluation of China’s Network Music Education APP</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Guangzhuang%20Yu">Guangzhuang Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Chun-Chu%20Liu"> Chun-Chu Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the advent of the Internet era in recent years, social music education has gradually shifted from the original entity education mode to the mode of entity plus network teaching. No matter for school music education, professional music education or social music education, the teaching quality is the most important evaluation index. Regarding the research on teaching quality evaluation, scholars at home and abroad have contributed a lot of research results on the basis of multiple methods and evaluation subjects. However, to our best knowledge the complete evaluation model for the virtual teaching interaction mode of the emerging network music education Application (APP) has not been established. This research firstly found out the basic dimensions that accord with the teaching quality required by the three parties, constructing the quality evaluation index system; and then, on the basis of expounding the connotation of each index, it determined the weight of each index by using method of fuzzy analytic hierarchy process, providing ideas and methods for scientific, objective and comprehensive evaluation of the teaching quality of network education APP. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=network%20music%20education%20APP" title="network music education APP">network music education APP</a>, <a href="https://publications.waset.org/abstracts/search?q=teaching%20quality%0D%0Aevaluation" title=" teaching quality evaluation"> teaching quality evaluation</a>, <a href="https://publications.waset.org/abstracts/search?q=index%20and%20connotation" title=" index and connotation"> index and connotation</a> </p> <a href="https://publications.waset.org/abstracts/131891/research-on-the-teaching-quality-evaluation-of-chinas-network-music-education-app" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131891.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">128</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=entity%20relationship%20model&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=entity%20relationship%20model&page=3">3</a></li> <li class="page-item"><a class="page-link" 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