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</div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: technologies of the contextual knowledge extraction</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12600</span> Synthetic Method of Contextual Knowledge Extraction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Olga%20Kononova">Olga Kononova</a>, <a href="https://publications.waset.org/abstracts/search?q=Sergey%20Lyapin"> Sergey Lyapin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Global information society requirements are transparency and reliability of data, as well as ability to manage information resources independently; particularly to search, to analyze, to evaluate information, thereby obtaining new expertise. Moreover, it is satisfying the society information needs that increases the efficiency of the enterprise management and public administration. The study of structurally organized thematic and semantic contexts of different types, automatically extracted from unstructured data, is one of the important tasks for the application of information technologies in education, science, culture, governance and business. The objectives of this study are the contextual knowledge typologization, selection or creation of effective tools for extracting and analyzing contextual knowledge. Explication of various kinds and forms of the contextual knowledge involves the development and use full-text search information systems. For the implementation purposes, the authors use an e-library 'Humanitariana' services such as the contextual search, different types of queries (paragraph-oriented query, frequency-ranked query), automatic extraction of knowledge from the scientific texts. The multifunctional e-library «Humanitariana» is realized in the Internet-architecture in WWS-configuration (Web-browser / Web-server / SQL-server). Advantage of use 'Humanitariana' is in the possibility of combining the resources of several organizations. Scholars and research groups may work in a local network mode and in distributed IT environments with ability to appeal to resources of any participating organizations servers. Paper discusses some specific cases of the contextual knowledge explication with the use of the e-library services and focuses on possibilities of new types of the contextual knowledge. Experimental research base are science texts about 'e-government' and 'computer games'. An analysis of the subject-themed texts trends allowed to propose the content analysis methodology, that combines a full-text search with automatic construction of 'terminogramma' and expert analysis of the selected contexts. 'Terminogramma' is made out as a table that contains a column with a frequency-ranked list of words (nouns), as well as columns with an indication of the absolute frequency (number) and the relative frequency of occurrence of the word (in %% ppm). The analysis of 'e-government' materials showed, that the state takes a dominant position in the processes of the electronic interaction between the authorities and society in modern Russia. The media credited the main role in these processes to the government, which provided public services through specialized portals. Factor analysis revealed two factors statistically describing the used terms: human interaction (the user) and the state (government, processes organizer); interaction management (public officer, processes performer) and technology (infrastructure). Isolation of these factors will lead to changes in the model of electronic interaction between government and society. In this study, the dominant social problems and the prevalence of different categories of subjects of computer gaming in science papers from 2005 to 2015 were identified. Therefore, there is an evident identification of several types of contextual knowledge: micro context; macro context; dynamic context; thematic collection of queries (interactive contextual knowledge expanding a composition of e-library information resources); multimodal context (functional integration of iconographic and full-text resources through hybrid quasi-semantic algorithm of search). Further studies can be pursued both in terms of expanding the resource base on which they are held, and in terms of the development of appropriate tools. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=contextual%20knowledge" title="contextual knowledge">contextual knowledge</a>, <a href="https://publications.waset.org/abstracts/search?q=contextual%20search" title=" contextual search"> contextual search</a>, <a href="https://publications.waset.org/abstracts/search?q=e-library%20services" title=" e-library services"> e-library services</a>, <a href="https://publications.waset.org/abstracts/search?q=frequency-ranked%20query" title=" frequency-ranked query"> frequency-ranked query</a>, <a href="https://publications.waset.org/abstracts/search?q=paragraph-oriented%20query" title=" paragraph-oriented query"> paragraph-oriented query</a>, <a href="https://publications.waset.org/abstracts/search?q=technologies%20of%20the%20contextual%20knowledge%20extraction" title=" technologies of the contextual knowledge extraction"> technologies of the contextual knowledge extraction</a> </p> <a href="https://publications.waset.org/abstracts/67954/synthetic-method-of-contextual-knowledge-extraction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67954.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">359</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">12599</span> Knowledge Reactor: A Contextual Computing Work in Progress for Eldercare</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Scott%20N.%20Gerard">Scott N. Gerard</a>, <a href="https://publications.waset.org/abstracts/search?q=Aliza%20Heching"> Aliza Heching</a>, <a href="https://publications.waset.org/abstracts/search?q=Susann%20M.%20Keohane"> Susann M. Keohane</a>, <a href="https://publications.waset.org/abstracts/search?q=Samuel%20S.%20Adams"> Samuel S. Adams</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The world-wide population of people over 60 years of age is growing rapidly. The explosion is placing increasingly onerous demands on individual families, multiple industries and entire countries. Current, human-intensive approaches to eldercare are not sustainable, but IoT and AI technologies can help. The Knowledge Reactor (KR) is a contextual, data fusion engine built to address this and other similar problems. It fuses and centralizes IoT and System of Record/Engagement data into a reactive knowledge graph. Cognitive applications and services are constructed with its multiagent architecture. The KR can scale-up and scaledown, because it exploits container-based, horizontally scalable services for graph store (JanusGraph) and pub-sub (Kafka) technologies. While the KR can be applied to many domains that require IoT and AI technologies, this paper describes how the KR specifically supports the challenging domain of cognitive eldercare. Rule- and machine learning-based analytics infer activities of daily living from IoT sensor readings. KR scalability, adaptability, flexibility and usability are demonstrated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ambient%20sensing" title="ambient sensing">ambient sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=AI" title=" AI"> AI</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=eldercare" title=" eldercare"> eldercare</a>, <a href="https://publications.waset.org/abstracts/search?q=IoT" title=" IoT"> IoT</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things" title=" internet of things"> internet of things</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20graph" title=" knowledge graph"> knowledge graph</a> </p> <a href="https://publications.waset.org/abstracts/90782/knowledge-reactor-a-contextual-computing-work-in-progress-for-eldercare" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90782.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">175</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">12598</span> Contextual Enablers and Behaviour Outputs for Action of Knowledge Workers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Juan-Gabriel%20Cegarra-Navarro">Juan-Gabriel Cegarra-Navarro</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexeis%20Garcia-Perez"> Alexeis Garcia-Perez</a>, <a href="https://publications.waset.org/abstracts/search?q=Denise%20Bedford"> Denise Bedford</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper provides guidelines for what constitutes a knowledge worker. Many graduates from non-managerial domains adopt, at some point in their professional careers, management roles at different levels, ranging from team leaders through to executive leadership. This is particularly relevant for professionals from an engineering background. Moving from a technical to an executive-level requires an understanding of those behaviour management techniques that can motivate and support individuals and their performance. Further, the transition to management also demands a shift of contextual enablers from tangible to intangible resources, which allows individuals to create new capacities, competencies, and capabilities. In this dynamic process, the knowledge worker becomes that key individual who can help members of the management board to transform information into relevant knowledge. However, despite its relevance in shaping the future of the organization in its transition to the knowledge economy, the role of a knowledge worker has not yet been studied to an appropriate level in the current literature. In this study, the authors review both the contextual enablers and behaviour outputs related to the role of the knowledge worker and relate these to their ability to deal with everyday management issues such as knowledge heterogeneity, varying motivations, information overload, or outdated information. This study highlights that the aggregate of capacities, competences and capabilities (CCCs) can be defined as knowledge structures, the study proposes several contextual enablers and behaviour outputs that knowledge workers can use to work cooperatively, acquire, distribute and knowledge. Therefore, this study contributes to a better comprehension of how CCCs can be managed at different levels through their contextual enablers and behaviour outputs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20workers" title="knowledge workers">knowledge workers</a>, <a href="https://publications.waset.org/abstracts/search?q=capabilities" title=" capabilities"> capabilities</a>, <a href="https://publications.waset.org/abstracts/search?q=capacities" title=" capacities"> capacities</a>, <a href="https://publications.waset.org/abstracts/search?q=competences" title=" competences"> competences</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20structures" title=" knowledge structures"> knowledge structures</a> </p> <a href="https://publications.waset.org/abstracts/115796/contextual-enablers-and-behaviour-outputs-for-action-of-knowledge-workers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115796.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">156</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">12597</span> Improvement of Protein Extraction From Shrimp by Product Used for Electrospinning by Applying Emerging Technologies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mario%20P%C3%A9rez-Won">Mario Pérez-Won</a>, <a href="https://publications.waset.org/abstracts/search?q=Vilbett%20Briones%20L."> Vilbett Briones L.</a>, <a href="https://publications.waset.org/abstracts/search?q=Guido%20Trautmann"> Guido Trautmann</a>, <a href="https://publications.waset.org/abstracts/search?q=Mar%C3%ADa%20Jos%C3%A9%20Bugue%C3%B1o"> María José Bugueño</a>, <a href="https://publications.waset.org/abstracts/search?q=Gipsy%20Tabilo-Munizaga"> Gipsy Tabilo-Munizaga</a>, <a href="https://publications.waset.org/abstracts/search?q=Luis%20Gonzalez-Cavieres"> Luis Gonzalez-Cavieres</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The fishing industry generates a significant amount of shrimp byproducts, which often result in environmental contamination. Protein extraction from these by-products is a potential solution to minimize waste and revalue the by-products. To improve the extraction of proteins (by chemical method) from shrimp (Pleuroncodes monodon) by-products, the emerging technologies of ohmic heating (OH), microwaves (MW) and pulsed electric fields (PEF) were used. The results show that microwaves, electrical pulses, and ohmic heating improved performance by 28.19%, 19.25%, and 3.65%, respectively. Furthermore, conformational changes were studied by DSC and FTIR. Subsequently, the use of these proteins in electrospinning technology was evaluated. In conclusion, this study demonstrates that the application of emerging technologies, can significantly improve the extraction yield of proteins from shrimp by-products. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electrospinning" title="electrospinning">electrospinning</a>, <a href="https://publications.waset.org/abstracts/search?q=emerging%20technologies" title=" emerging technologies"> emerging technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=improving%20extraction" title=" improving extraction"> improving extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=shrimp%20by-products" title=" shrimp by-products"> shrimp by-products</a> </p> <a href="https://publications.waset.org/abstracts/170663/improvement-of-protein-extraction-from-shrimp-by-product-used-for-electrospinning-by-applying-emerging-technologies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170663.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">77</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">12596</span> Evolving Knowledge Extraction from Online Resources</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhibo%20Xiao">Zhibo Xiao</a>, <a href="https://publications.waset.org/abstracts/search?q=Tharini%20Nayanika%20de%20Silva"> Tharini Nayanika de Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=Kezhi%20Mao"> Kezhi Mao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we present an evolving knowledge extraction system named AKEOS (Automatic Knowledge Extraction from Online Sources). AKEOS consists of two modules, including a one-time learning module and an evolving learning module. The one-time learning module takes in user input query, and automatically harvests knowledge from online unstructured resources in an unsupervised way. The output of the one-time learning is a structured vector representing the harvested knowledge. The evolving learning module automatically schedules and performs repeated one-time learning to extract the newest information and track the development of an event. In addition, the evolving learning module summarizes the knowledge learned at different time points to produce a final knowledge vector about the event. With the evolving learning, we are able to visualize the key information of the event, discover the trends, and track the development of an event. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=evolving%20learning" title="evolving learning">evolving learning</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=knowledge%20graph" title=" knowledge graph"> knowledge graph</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20mining" title=" text mining"> text mining</a> </p> <a href="https://publications.waset.org/abstracts/61571/evolving-knowledge-extraction-from-online-resources" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61571.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">458</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">12595</span> Membranes for Direct Lithium Extraction (DLE)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amir%20Razmjou">Amir Razmjou</a>, <a href="https://publications.waset.org/abstracts/search?q=Elika%20Karbassi%20Yazdi"> Elika Karbassi Yazdi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Several direct lithium extraction (DLE) technologies have been developed for Li extraction from different brines. Although laboratory studies showed that they can technically recover Li to 90%, challenges still remain in developing a sustainable process that can serve as a foundation for the lithium dependent low-carbon economy. There is a continuing quest for DLE technologies that do not need extensive pre-treatments, fewer materials, and have simplified extraction processes with high Li selectivity. Here, an overview of DLE technologies will be provided with an emphasis on the basic principles of the materials’ design for the development of membranes with nanochannels and nanopores with Li ion selectivity. We have used a variety of building blocks such as nano-clay, organic frameworks, Graphene/oxide, MXene, etc., to fabricate the membranes. Molecular dynamic simulation (MD) and density functional theory (DFT) were used to reveal new mechanisms by which high Li selectivity was obtained. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=lithium%20recovery" title="lithium recovery">lithium recovery</a>, <a href="https://publications.waset.org/abstracts/search?q=membrane" title=" membrane"> membrane</a>, <a href="https://publications.waset.org/abstracts/search?q=lithium%20selectivity" title=" lithium selectivity"> lithium selectivity</a>, <a href="https://publications.waset.org/abstracts/search?q=decarbonization" title=" decarbonization"> decarbonization</a> </p> <a href="https://publications.waset.org/abstracts/149229/membranes-for-direct-lithium-extraction-dle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149229.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">112</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">12594</span> Research on Construction of Subject Knowledge Base Based on Literature Knowledge Extraction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yumeng%20Ma">Yumeng Ma</a>, <a href="https://publications.waset.org/abstracts/search?q=Fang%20Wang"> Fang Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jinxia%20Huang"> Jinxia Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Researchers put forward higher requirements for efficient acquisition and utilization of domain knowledge in the big data era. As literature is an effective way for researchers to quickly and accurately understand the research situation in their field, the knowledge discovery based on literature has become a new research method. As a tool to organize and manage knowledge in a specific domain, the subject knowledge base can be used to mine and present the knowledge behind the literature to meet the users' personalized needs. This study designs the construction route of the subject knowledge base for specific research problems. Information extraction method based on knowledge engineering is adopted. Firstly, the subject knowledge model is built through the abstraction of the research elements. Then under the guidance of the knowledge model, extraction rules of knowledge points are compiled to analyze, extract and correlate entities, relations, and attributes in literature. Finally, a database platform based on this structured knowledge is developed that can provide a variety of services such as knowledge retrieval, knowledge browsing, knowledge q&a, and visualization correlation. Taking the construction practices in the field of activating blood circulation and removing stasis as an example, this study analyzes how to construct subject knowledge base based on literature knowledge extraction. As the system functional test shows, this subject knowledge base can realize the expected service scenarios such as a quick query of knowledge, related discovery of knowledge and literature, knowledge organization. As this study enables subject knowledge base to help researchers locate and acquire deep domain knowledge quickly and accurately, it provides a transformation mode of knowledge resource construction and personalized precision knowledge services in the data-intensive research environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20model" title="knowledge model">knowledge model</a>, <a href="https://publications.waset.org/abstracts/search?q=literature%20knowledge%20extraction" title=" literature knowledge extraction"> literature knowledge extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=precision%20knowledge%20services" title=" precision knowledge services"> precision knowledge services</a>, <a href="https://publications.waset.org/abstracts/search?q=subject%20knowledge%20base" title=" subject knowledge base"> subject knowledge base</a> </p> <a href="https://publications.waset.org/abstracts/103587/research-on-construction-of-subject-knowledge-base-based-on-literature-knowledge-extraction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103587.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">163</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">12593</span> Enhanced Retrieval-Augmented Generation (RAG) Method with Knowledge Graph and Graph Neural Network (GNN) for Automated QA Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhihao%20Zheng">Zhihao Zheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhilin%20Wang"> Zhilin Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Linxin%20Liu"> Linxin Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the research of automated knowledge question-answering systems, accuracy and efficiency are critical challenges. This paper proposes a knowledge graph-enhanced Retrieval-Augmented Generation (RAG) method, combined with a Graph Neural Network (GNN) structure, to automatically determine the correctness of knowledge competition questions. First, a domain-specific knowledge graph was constructed from a large corpus of academic journal literature, with key entities and relationships extracted using Natural Language Processing (NLP) techniques. Then, the RAG method's retrieval module was expanded to simultaneously query both text databases and the knowledge graph, leveraging the GNN to further extract structured information from the knowledge graph. During answer generation, contextual information provided by the knowledge graph and GNN is incorporated to improve the accuracy and consistency of the answers. Experimental results demonstrate that the knowledge graph and GNN-enhanced RAG method perform excellently in determining the correctness of questions, achieving an accuracy rate of 95%. Particularly in cases involving ambiguity or requiring contextual information, the structured knowledge provided by the knowledge graph and GNN significantly enhances the RAG method's performance. This approach not only demonstrates significant advantages in improving the accuracy and efficiency of automated knowledge question-answering systems but also offers new directions and ideas for future research and practical applications. <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=graph%20neural%20network" title=" graph neural network"> graph neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=retrieval-augmented%20generation" title=" retrieval-augmented generation"> retrieval-augmented generation</a>, <a href="https://publications.waset.org/abstracts/search?q=NLP" title=" NLP"> NLP</a> </p> <a href="https://publications.waset.org/abstracts/188751/enhanced-retrieval-augmented-generation-rag-method-with-knowledge-graph-and-graph-neural-network-gnn-for-automated-qa-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188751.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">39</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">12592</span> Comparison of Different Extraction Methods for the Determination of Polyphenols</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Senem%20Suna">Senem Suna</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Extraction of bioactive compounds from several food/food products comes as an important topic and new trend related with health promoting effects. As a result of the increasing interest in natural foods, different methods are used for the acquisition of these components especially polyphenols. However, special attention has to be paid to the selection of proper techniques or several processing technologies (supercritical fluid extraction, microwave-assisted extraction, ultrasound-assisted extraction, powdered extracts production) for each kind of food to get maximum benefit as well as the obtainment of phenolic compounds. In order to meet consumer’s demand for healthy food and the management of quality and safety requirements, advanced research and development are needed. In this review, advantages, and disadvantages of different extraction methods, their opportunities to be used in food industry and the effects of polyphenols are mentioned in details. Consequently, with the evaluation of the results of several studies, the selection of the most suitable food specific method was aimed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bioactives" title="bioactives">bioactives</a>, <a href="https://publications.waset.org/abstracts/search?q=extraction" title=" extraction"> extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=powdered%20extracts" title=" powdered extracts"> powdered extracts</a>, <a href="https://publications.waset.org/abstracts/search?q=supercritical%20fluid%20extraction" title=" supercritical fluid extraction"> supercritical fluid extraction</a> </p> <a href="https://publications.waset.org/abstracts/89849/comparison-of-different-extraction-methods-for-the-determination-of-polyphenols" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89849.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">239</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">12591</span> Knowledge Development: How New Information System Technologies Affect Knowledge Development</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yener%20Ekiz">Yener Ekiz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Knowledge development is a proactive process that covers collection, analysis, storage and distribution of information that helps to contribute the understanding of the environment. To transfer knowledge correctly and fastly, you have to use new emerging information system technologies. Actionable knowledge is only of value if it is understandable and usable by target users. The purpose of the paper is to enlighten how technology eases and affects the process of knowledge development. While preparing the paper, literature review, survey and interview methodology will be used. The hypothesis is that the technology and knowledge development are inseparable and the technology will formalize the DIKW hierarchy again. As a result, today there is huge data. This data must be classified sharply and quickly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DIKW%20hierarchy" title="DIKW hierarchy">DIKW hierarchy</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20development" title=" knowledge development"> knowledge development</a>, <a href="https://publications.waset.org/abstracts/search?q=technology" title=" technology"> technology</a> </p> <a href="https://publications.waset.org/abstracts/22240/knowledge-development-how-new-information-system-technologies-affect-knowledge-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22240.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">441</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">12590</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">12589</span> A Review on the Adoption and Acculturation of Digital Technologies among Farmers of Haryana State</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Manisha%20Ohlan">Manisha Ohlan</a>, <a href="https://publications.waset.org/abstracts/search?q=Manju%20Dahiya"> Manju Dahiya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present study was conducted in Karnal, Rohtak, and Jhajjar districts of Haryana state, covering 360 respondents. Results showed that 42.78 percent of the respondents had above average knowledge at the preparation stage followed by 48.33 percent of the respondents who had high knowledge at the production stage, and 37.22 percent of the respondents had average knowledge at the processing stage regarding the usage of digital technologies. Nearly half of the respondents (47.50%) agreed with the usage of digital technologies, followed by strongly agreed (19.45%) and strongly disagreed (14.45%). A significant and positive relationship was found between independent variables and knowledge and of digital technologies at 5 percent level of significance. Therefore, the null hypothesis cannot be rejected. All the dependent variables, including knowledge and attitude, had a significant and positive relationship with z value at 5 percent level of significance, which showed that it is between -1.96 to +1.96; therefore, the data falls between the acceptance region, that’s why the null hypothesis is accepted. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge" title="knowledge">knowledge</a>, <a href="https://publications.waset.org/abstracts/search?q=attitude" title=" attitude"> attitude</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20technologies" title=" digital technologies"> digital technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=significant" title=" significant"> significant</a>, <a href="https://publications.waset.org/abstracts/search?q=positive%20relationship" title=" positive relationship"> positive relationship</a> </p> <a href="https://publications.waset.org/abstracts/148073/a-review-on-the-adoption-and-acculturation-of-digital-technologies-among-farmers-of-haryana-state" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148073.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">94</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">12588</span> Implementing Contextual Approach to Improve EFL Learners’ English Speaking Skill</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samanik">Samanik</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This writing is correlated with English teaching material development, Contextual Teaching Learning (CTL). CTL is believed to facilitate students with real world challenge. Contextual Teaching and Learning is identified as a promising strategy that actively engages students and promotes skills development. It is based on the notion that learning can only occur when students are able to connect between content and context. It also helps teachers link between the materials taught with real-world situations and encourage students to make connection between the knowledge possessed by its application. Besides, it directs students to be critical and analytical. In accordance, this paper looks for the opportunity to improve EFL learners’ English speaking skill through tour guide presentation. A single case study will be conducted to highlight EFL learners’ experience of doing tour guide presentation in the English class room setting. The writer assumes that CLT will contribute positively to EFL learners’ English speaking skill. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=English%20speaking%20skill" title="English speaking skill">English speaking skill</a>, <a href="https://publications.waset.org/abstracts/search?q=contextual%20teaching%20learning" title=" contextual teaching learning"> contextual teaching learning</a>, <a href="https://publications.waset.org/abstracts/search?q=tour%20guide%20presentation" title=" tour guide presentation"> tour guide presentation</a> </p> <a href="https://publications.waset.org/abstracts/55011/implementing-contextual-approach-to-improve-efl-learners-english-speaking-skill" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55011.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">263</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">12587</span> Green Extraction Technologies of Flavonoids Containing Pharmaceuticals</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lamzira%20Ebralidze">Lamzira Ebralidze</a>, <a href="https://publications.waset.org/abstracts/search?q=Aleksandre%20Tsertsvadze"> Aleksandre Tsertsvadze</a>, <a href="https://publications.waset.org/abstracts/search?q=Dali%20Berashvili"> Dali Berashvili</a>, <a href="https://publications.waset.org/abstracts/search?q=Aliosha%20Bakuridze"> Aliosha Bakuridze</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, there is an increasing demand for biologically active substances from vegetable, animal, and mineral resources. In terms of the use of natural compounds, pharmaceutical, cosmetic, and nutrition industry has big interest. The biggest drawback of conventional extraction methods is the need to use a large volume of organic extragents. The removal of the organic solvent is a multi-stage process. And their absolute removal cannot be achieved, and they still appear in the final product as impurities. A large amount of waste containing organic solvent damages not only human health but also has the harmful effects of the environment. Accordingly, researchers are focused on improving the extraction methods, which aims to minimize the use of organic solvents and energy sources, using alternate solvents and renewable raw materials. In this context, green extraction principles were formed. Green Extraction is a need of today’s environment. Green Extraction is the concept, and it totally corresponds to the challenges of the 21st century. The extraction of biologically active compounds based on green extraction principles is vital from the view of preservation and maintaining biodiversity. Novel technologies of green extraction are known, such as "cold methods" because during the extraction process, the temperature is relatively lower, and it doesn’t have a negative impact on the stability of plant compounds. Novel technologies provide great opportunities to reduce or replace the use of organic toxic solvents, the efficiency of the process, enhance excretion yield, and improve the quality of the final product. The objective of the research is the development of green technologies of flavonoids containing preparations. Methodology: At the first stage of the research, flavonoids containing preparations (Tincture Herba Leonuri, flamine, rutine) were prepared based on conventional extraction methods: maceration, bismaceration, percolation, repercolation. At the same time, the same preparations were prepared based on green technologies, microwave-assisted, UV extraction methods. Product quality characteristics were evaluated by pharmacopeia methods. At the next stage of the research technological - economic characteristics and cost efficiency of products prepared based on conventional and novel technologies were determined. For the extraction of flavonoids, water is used as extragent. Surface-active substances are used as co-solvent in order to reduce surface tension, which significantly increases the solubility of polyphenols in water. Different concentrations of water-glycerol mixture, cyclodextrin, ionic solvent were used for the extraction process. In vitro antioxidant activity will be studied by the spectrophotometric method, using DPPH (2,2-diphenyl-1- picrylhydrazyl) as an antioxidant assay. The advantage of green extraction methods is also the possibility of obtaining higher yield in case of low temperature, limitation extraction process of undesirable compounds. That is especially important for the extraction of thermosensitive compounds and maintaining their stability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extraction" title="extraction">extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=green%20technologies" title=" green technologies"> green technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20resources" title=" natural resources"> natural resources</a>, <a href="https://publications.waset.org/abstracts/search?q=flavonoids" title=" flavonoids"> flavonoids</a> </p> <a href="https://publications.waset.org/abstracts/109406/green-extraction-technologies-of-flavonoids-containing-pharmaceuticals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109406.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">129</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">12586</span> Lexical Semantic Analysis to Support Ontology Modeling of Maintenance Activities– Case Study of Offshore Riser Integrity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vahid%20Ebrahimipour">Vahid Ebrahimipour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Word representation and context meaning of text-based documents play an essential role in knowledge modeling. Business procedures written in natural language are meant to store technical and engineering information, management decision and operation experience during the production system life cycle. Context meaning representation is highly dependent upon word sense, lexical relativity, and sematic features of the argument. This paper proposes a method for lexical semantic analysis and context meaning representation of maintenance activity in a mass production system. Our approach constructs a straightforward lexical semantic approach to analyze facilitates semantic and syntactic features of context structure of maintenance report to facilitate translation, interpretation, and conversion of human-readable interpretation into computer-readable representation and understandable with less heterogeneity and ambiguity. The methodology will enable users to obtain a representation format that maximizes shareability and accessibility for multi-purpose usage. It provides a contextualized structure to obtain a generic context model that can be utilized during the system life cycle. At first, it employs a co-occurrence-based clustering framework to recognize a group of highly frequent contextual features that correspond to a maintenance report text. Then the keywords are identified for syntactic and semantic extraction analysis. The analysis exercises causality-driven logic of keywords’ senses to divulge the structural and meaning dependency relationships between the words in a context. The output is a word contextualized representation of maintenance activity accommodating computer-based representation and inference using OWL/RDF. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=lexical%20semantic%20analysis" title="lexical semantic analysis">lexical semantic analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=metadata%20modeling" title=" metadata modeling"> metadata modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=contextual%20meaning%20extraction" title=" contextual meaning extraction"> contextual meaning extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=ontology%20modeling" title=" ontology modeling"> ontology modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20representation" title=" knowledge representation"> knowledge representation</a> </p> <a href="https://publications.waset.org/abstracts/133830/lexical-semantic-analysis-to-support-ontology-modeling-of-maintenance-activities-case-study-of-offshore-riser-integrity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133830.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">12585</span> Knowledge Management in Practice: An Exploratory Study Applied to Consulting Firms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Evgeniya%20Ivanova">Evgeniya Ivanova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, in the literature, there is still no fixed definition of knowledge management that often remains only as an academic discipline. The current market situation is changing very quickly, the need of new technologies is high, and knowledge management is the area that ensures that the know-how has not been lost during market development and adoption. The study examines how knowledge management is being leveraged and practiced in the management consultancy companies and provides not only the tips and best practices of applied knowledge management approaches but also the validation matrix for its successful or unsuccessful implementation. Different knowledge management approaches are explored on the basis of their practical implementation, including related challenges, knowledge sharing process, and barriers that are typical for consulting firms mostly driven by the agile working culture. The relevance of proposed topic is confirmed by the finding that corporate working culture and the exponentially developing technologies have a direct impact on the success of practical implementation of knowledge management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management" title="knowledge management">knowledge management</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management%20in%20practice" title=" knowledge management in practice"> knowledge management in practice</a>, <a href="https://publications.waset.org/abstracts/search?q=consulting%20firm" title=" consulting firm"> consulting firm</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management%20success" title=" knowledge management success"> knowledge management success</a> </p> <a href="https://publications.waset.org/abstracts/144743/knowledge-management-in-practice-an-exploratory-study-applied-to-consulting-firms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144743.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">201</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">12584</span> Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tharini%20N.%20de%20Silva">Tharini N. de Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiao%20Zhibo"> Xiao Zhibo</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhao%20Rui"> Zhao Rui</a>, <a href="https://publications.waset.org/abstracts/search?q=Mao%20Kezhi"> Mao Kezhi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Causal relation identification is a crucial task in information extraction and knowledge discovery. In this work, we present two approaches to causal relation identification. The first is a classification model trained on a set of knowledge-based features. The second is a deep learning based approach training a model using convolutional neural networks to classify causal relations. We experiment with several different convolutional neural networks (CNN) models based on previous work on relation extraction as well as our own research. Our models are able to identify both explicit and implicit causal relations as well as the direction of the causal relation. The results of our experiments show a higher accuracy than previously achieved for causal relation identification tasks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=causal%20realtion%20extraction" title="causal realtion extraction">causal realtion extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=relation%20extracton" title=" relation extracton"> relation extracton</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20network" title=" convolutional neural network"> convolutional neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20representation" title=" text representation"> text representation</a> </p> <a href="https://publications.waset.org/abstracts/61573/causal-relation-identification-using-convolutional-neural-networks-and-knowledge-based-features" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61573.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">732</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">12583</span> Mechanisms of Ginger Bioactive Compounds Extract Using Soxhlet and Accelerated Water Extraction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20N.%20Azian">M. N. Azian</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20N.%20Ilia%20Anisa"> A. N. Ilia Anisa</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Iwai"> Y. Iwai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The mechanism for extraction bioactive compounds from plant matrix is essential for optimizing the extraction process. As a benchmark technique, a soxhlet extraction has been utilized for discussing the mechanism and compared with an accelerated water extraction. The trends of both techniques show that the process involves extraction and degradation. The highest yields of 6-, 8-, 10-gingerols and 6-shogaol in soxhlet extraction were 13.948, 7.12, 10.312 and 2.306 mg/g, respectively. The optimum 6-, 8-, 10-gingerols and 6-shogaol extracted by the accelerated water extraction at 140oC were 68.97±3.95 mg/g at 3min, 18.98±3.04 mg/g at 5min, 5.167±2.35 mg/g at 3min and 14.57±6.27 mg/g at 3min, respectively. The effect of temperature at 3mins shows that the concentration of 6-shogaol increased rapidly as decreasing the recovery of 6-gingerol. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mechanism" title="mechanism">mechanism</a>, <a href="https://publications.waset.org/abstracts/search?q=ginger%20bioactive%20compounds" title=" ginger bioactive compounds"> ginger bioactive compounds</a>, <a href="https://publications.waset.org/abstracts/search?q=soxhlet%20extraction" title=" soxhlet extraction"> soxhlet extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=accelerated%20water%20extraction" title=" accelerated water extraction"> accelerated water extraction</a> </p> <a href="https://publications.waset.org/abstracts/9278/mechanisms-of-ginger-bioactive-compounds-extract-using-soxhlet-and-accelerated-water-extraction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9278.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">434</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">12582</span> A Case from China on the Situation of Knowledge Management in Government</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qiaoyun%20Yang">Qiaoyun Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Organizational scholars have paid enormous attention on how local governments manage their knowledge during the past two decades. Government knowledge management (KM) research recognizes that the management of knowledge flows and networks is critical to reforms on government service efficiency and the effect of administration. When dealing with complex affairs, all the limitations resulting from a lack of KM concept, processes and technologies among all the involved organizations begin to be exposed and further compound the processing difficulty of the affair. As a result, the challenges for individual or group knowledge sharing, knowledge digging and organizations’ collaboration in government's activities are diverse and immense. This analysis presents recent situation of government KM in China drawing from a total of more than 300 questionnaires and highlights important challenges that remain. The causes of the lapses in KM processes within and across the government agencies are discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=KM%20processes" title="KM processes">KM processes</a>, <a href="https://publications.waset.org/abstracts/search?q=KM%20technologies" title=" KM technologies"> KM technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=government" title=" government"> government</a>, <a href="https://publications.waset.org/abstracts/search?q=KM%20situation" title=" KM situation"> KM situation</a> </p> <a href="https://publications.waset.org/abstracts/67316/a-case-from-china-on-the-situation-of-knowledge-management-in-government" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67316.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">361</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">12581</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">12580</span> The Effects of Three Levels of Contextual Inference among adult Athletes </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulaziz%20Almustafa">Abdulaziz Almustafa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Considering the critical role permanence has on predictions related to the contextual interference effect on laboratory and field research, this study sought to determine whether the paradigm of the effect depends on the complexity of the skill during the acquisition and transfer phases. The purpose of the present study was to investigate the effects of contextual interference CI by extending previous laboratory and field research with adult athletes through the acquisition and transfer phases. Male (n=60) athletes age 18-22 years-old, were chosen randomly from Eastern Province Clubs. They were assigned to complete blocked, random, or serial practices. Analysis of variance with repeated measures MANOVA indicated that, the results did not support the notion of CI. There were no significant differences in acquisition phase between blocked, serial and random practice groups. During the transfer phase, there were no major differences between the practice groups. Apparently, due to the task complexity, participants were probably confused and not able to use the advantages of contextual interference. This is another contradictory result to contextual interference effects in acquisition and transfer phases in sport settings. One major factor that can influence the effect of contextual interference is task characteristics as the nature of level of difficulty in sport-related skill. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=contextual%20interference" title="contextual interference">contextual interference</a>, <a href="https://publications.waset.org/abstracts/search?q=acquisition" title=" acquisition"> acquisition</a>, <a href="https://publications.waset.org/abstracts/search?q=transfer" title=" transfer"> transfer</a>, <a href="https://publications.waset.org/abstracts/search?q=task%20difficulty" title=" task difficulty"> task difficulty</a> </p> <a href="https://publications.waset.org/abstracts/20146/the-effects-of-three-levels-of-contextual-inference-among-adult-athletes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20146.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">466</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">12579</span> Protein Extraction by Enzyme-Assisted Extraction followed by Alkaline Extraction from Red Seaweed Eucheuma denticulatum (Spinosum) Used in Carrageenan Production </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Naseri">Alireza Naseri</a>, <a href="https://publications.waset.org/abstracts/search?q=Susan%20L.%20Holdt"> Susan L. Holdt</a>, <a href="https://publications.waset.org/abstracts/search?q=Charlotte%20Jacobsen"> Charlotte Jacobsen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In 2014, the global amount of carrageenan production was 60,000 ton with a value of US$ 626 million. From this number, it can be estimated that the total dried seaweed consumption for this production was at least 300,000 ton/year. The protein content of these types of seaweed is 5 – 25%. If just half of this total amount of protein could be extracted, 18,000 ton/year of a high-value protein product would be obtained. The overall aim of this study was to develop a technology that will ensure further utilization of the seaweed that is used only as raw materials for carrageenan production as single extraction at present. More specifically, proteins should be extracted from the seaweed either before or after extraction of carrageenan with focus on maintaining the quality of carrageenan as a main product. Different mechanical, chemical and enzymatic technologies were evaluated. The optimized process was implemented in lab scale and based on its results; the new experiments were done a pilot and larger scale. In order to calculate the efficiency of the new upstream multi-extraction process, protein content was tested before and after extraction. After this step, the extraction of carrageenan was done and carrageenan content and the effect of extraction on yield were evaluated. The functionality and quality of carrageenan were measured based on rheological parameters. The results showed that by using the new multi-extraction process (submitted patent); it is possible to extract almost 50% of total protein without any negative impact on the carrageenan quality. Moreover, compared to the routine carrageenan extraction process, the new multi-extraction process could increase the yield of carrageenan and the rheological properties such as gel strength in the final carrageenan had a promising improvement. The extracted protein has initially been screened as a plant protein source in typical food applications. Further work will be carried out in order to improve properties such as color, solubility, and taste. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=carrageenan" title="carrageenan">carrageenan</a>, <a href="https://publications.waset.org/abstracts/search?q=extraction" title=" extraction"> extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=protein" title=" protein"> protein</a>, <a href="https://publications.waset.org/abstracts/search?q=seaweed" title=" seaweed"> seaweed</a> </p> <a href="https://publications.waset.org/abstracts/89064/protein-extraction-by-enzyme-assisted-extraction-followed-by-alkaline-extraction-from-red-seaweed-eucheuma-denticulatum-spinosum-used-in-carrageenan-production" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89064.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">284</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">12578</span> Creation and Management of Knowledge for Organization Sustainability and Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepa%20Kapoor">Deepa Kapoor</a>, <a href="https://publications.waset.org/abstracts/search?q=Rajshree%20Singh"> Rajshree Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper appreciates the emergence and growing importance as a new production factor makes the development of technologies, methodologies and strategies for measurement, creation, and diffusion into one of the main priorities of the organizations in the knowledge society. There are many models for creation and management of knowledge and diverse and varied perspectives for study, analysis, and understanding. In this article, we will conduct a theoretical approach to the type of models for the creation and management of knowledge; we will discuss some of them and see some of the difficulties and the key factors that determine the success of the processes for the creation and management of knowledge. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20creation" title="knowledge creation">knowledge creation</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management" title=" knowledge management"> knowledge management</a>, <a href="https://publications.waset.org/abstracts/search?q=organizational%20development" title=" organizational development"> organizational development</a>, <a href="https://publications.waset.org/abstracts/search?q=organization%20learning" title=" organization learning"> organization learning</a> </p> <a href="https://publications.waset.org/abstracts/55445/creation-and-management-of-knowledge-for-organization-sustainability-and-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55445.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">345</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">12577</span> Ontology Mapping with R-GNN for IT Infrastructure: Enhancing Ontology Construction and Knowledge Graph Expansion</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 growth of unstructured data necessitates advanced methods for transforming raw information into structured knowledge, particularly in domain-specific contexts such as IT service management and outsourcing. This paper presents a methodology for automatically constructing domain ontologies using the DOLCE framework as the base ontology. The research focuses on expanding ITIL-based ontologies by integrating concepts from ITSMO, followed by the extraction of entities and relationships from domain-specific texts through transformers and statistical methods like formal concept analysis (FCA). In particular, this work introduces an R-GNN-based approach for ontology mapping, enabling more efficient entity extraction and ontology alignment with existing knowledge bases. Additionally, the research explores transfer learning techniques using pre-trained transformer models (e.g., DeBERTa-v3-large) fine-tuned on synthetic datasets generated via large language models such as LLaMA. The resulting ontology, termed IT Ontology (ITO), is evaluated against existing methodologies, highlighting significant improvements in precision and recall. This study advances the field of ontology engineering by automating the extraction, expansion, and refinement of ontologies tailored to the IT domain, thus bridging the gap between unstructured data and actionable knowledge. <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=knowledge%20graphs" title=" knowledge graphs"> knowledge graphs</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=ITIL" title=" ITIL"> ITIL</a>, <a href="https://publications.waset.org/abstracts/search?q=NER" title=" NER"> NER</a> </p> <a href="https://publications.waset.org/abstracts/192575/ontology-mapping-with-r-gnn-for-it-infrastructure-enhancing-ontology-construction-and-knowledge-graph-expansion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192575.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">15</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">12576</span> Teachers' Attitude and Knowledge as Predictors of Effective Use of Digital Devices for the Education of Students with Special Needs in Oyo, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Faseluka%20Olamide%20Tope">Faseluka Olamide Tope</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Giving quality education to students with special needs requires that all necessary resources should be harnessed and digital devices has become important part of resources used as instructional materials in educating students with special needs. Teachers who will make use of these technologies are considered as a part of the most important elements in any educational programme and the effective usage of these technologies largely depends on them. Out of numerous determinants of the effective use of these digital devices, this study examines teachers’ attitude and knowledge as predictors of effective use of digital technology for education of special needs student in Oyo state, Nigeria. The descriptive survey research design of the expo-facto type was adopted for the study, using simple random sampling technique. The study was carried out among sixty (60) participants. Two research questions and two research hypotheses were formulated and used. The data collected through the research instruments for the study were analysedusing frequency, percentage, mean and standard deviation, Pearson, Product, Moment Correlation (PPMC) and Multiple Regression Analysis. The study revealed a significant relationship between teachers attitude (50, < 0.05) and effective use of digital technologies for special needs students. Furthermore, there was a significant contribution F (F=4.289; R=0.876 and R2 =0.758) in the joint contribution of the independent variable (teacher’s attitude and teacher’s knowledge) and dependent variable (effective use of digital technologies) while teachers knowledge have the highest contribution(b=7.926, t=4.376), the study therefore revealed that teachers attitude and knowledge are potent factors that predicts the effective usage of digital technologies for the education of special needs student. The study recommended that due to the ever-changing nature of technology which comes with new features, teachers should be equipped with appropriate knowledge in order to effectively make use of them and teachers should also develop right attitude toward the use of digital technologies <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=teachers%E2%80%99%20knowledge" title="teachers’ knowledge">teachers’ knowledge</a>, <a href="https://publications.waset.org/abstracts/search?q=teachers%E2%80%99%20attitude" title=" teachers’ attitude"> teachers’ attitude</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20devices" title=" digital devices"> digital devices</a>, <a href="https://publications.waset.org/abstracts/search?q=special%20needs%20students" title=" special needs students"> special needs students</a> </p> <a href="https://publications.waset.org/abstracts/188221/teachers-attitude-and-knowledge-as-predictors-of-effective-use-of-digital-devices-for-the-education-of-students-with-special-needs-in-oyo-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188221.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">47</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">12575</span> Extracting Actions with Improved Part of Speech Tagging for Social Networking Texts</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yassine%20Jamoussi">Yassine Jamoussi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ameni%20Youssfi"> Ameni Youssfi</a>, <a href="https://publications.waset.org/abstracts/search?q=Henda%20Ben%20Ghezala"> Henda Ben Ghezala</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the growing interest in social networking, the interaction of social actors evolved to a source of knowledge in which it becomes possible to perform context aware-reasoning. The information extraction from social networking especially Twitter and Facebook is one of the problems in this area. To extract text from social networking, we need several lexical features and large scale word clustering. We attempt to expand existing tokenizer and to develop our own tagger in order to support the incorrect words currently in existence in Facebook and Twitter. Our goal in this work is to benefit from the lexical features developed for Twitter and online conversational text in previous works, and to develop an extraction model for constructing a huge knowledge based on actions <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20networking" title="social networking">social networking</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=part-of-speech%20tagging" title=" part-of-speech tagging"> part-of-speech tagging</a>, <a href="https://publications.waset.org/abstracts/search?q=natural%20language%20processing" title=" natural language processing"> natural language processing</a> </p> <a href="https://publications.waset.org/abstracts/51464/extracting-actions-with-improved-part-of-speech-tagging-for-social-networking-texts" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51464.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">305</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">12574</span> Teacher Knowledge: Unbridling Teacher Agency in the Context of Professional Development for Transformative Teaching and Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bernice%20Badal">Bernice Badal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article addresses a persistent challenge related to teacher agency in knowledge acquisition in professional development (PD) workshops in contexts of educational change, given that scholarship identifies a need for more teacher involvement and amplification of teacher's voices. Theoretical concepts are drawn from Bandura’s Social cognitive theory, incorporating the triadic causation model of agency to examine the reciprocal nature of the context, teacher characteristics, and systemic influences that shape how knowledge is transmitted and acquired in PD workshops. This qualitative study, using a mix of classroom observations and interviews, explored the political, contextual, and personal characteristics of teacher agency in PD through an analysis of data extracted from a PhD study. The narratives of six teachers from three township schools are examined to show how PD efforts in South Africa have failed to take account of the holistic development of teacher agency in knowledge dissemination and how this shapes teacher self-efficacy beliefs about being able to masterfully apply the tenets of the reform. Agency, teacher voice, and contextual considerations were used as markers of the quality of the training provided to understand how knowledge is acquired and meaning is made. The findings suggest that systemic influences of institutionally imposed PD offer partial understandings of the reform, which is offered in traditional formats that do not consider teacher empowerment in knowledge production and the development of teacher agency. Common in all the participants’ responses is the need for more information and training on the prescribed approach for teaching English as a second language; however, this paper holds the view that more information may not solve teachers’ dilemmas. Accordingly, it recommends a restructuring of the programme with facilitators being more cognisant of teacher agency for the development of transformative teachers. The findings of the study contribute to the field of teacher knowledge, teacher training, and professional development in the context of educational reforms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=teacher%20professional%20development" title="teacher professional development">teacher professional development</a>, <a href="https://publications.waset.org/abstracts/search?q=teacher%20voice" title=" teacher voice"> teacher voice</a>, <a href="https://publications.waset.org/abstracts/search?q=teacher%20agency" title=" teacher agency"> teacher agency</a>, <a href="https://publications.waset.org/abstracts/search?q=educational%20reforms" title=" educational reforms"> educational reforms</a>, <a href="https://publications.waset.org/abstracts/search?q=teacher%20knowledge" title=" teacher knowledge"> teacher knowledge</a> </p> <a href="https://publications.waset.org/abstracts/177778/teacher-knowledge-unbridling-teacher-agency-in-the-context-of-professional-development-for-transformative-teaching-and-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/177778.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">70</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">12573</span> Technologies of Isolation and Separation of Anthraquinone Derivatives </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dmitry%20Yu.%20Korulkin">Dmitry Yu. Korulkin</a>, <a href="https://publications.waset.org/abstracts/search?q=Raissa%20A.%20Muzychkina"> Raissa A. Muzychkina</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In review the generalized data about different methods of extraction, separation and purification of natural and modify anthraquinones is presented. The basic regularity of an isolation process is analyzed. Action of temperature, pH, and polarity of extragent, catalysts and other factors on an isolation process is revealed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthraquinones%3B%20isolation%3B%20extraction%3B%20polarity%3B%20chromatography%3B%20precipitation%3B%20bioactivity%3B%20phytopreparation%3B%20chrysophanol%3B%20aloe-emodin%3B%20emodin%3B%20physcion." title="anthraquinones; isolation; extraction; polarity; chromatography; precipitation; bioactivity; phytopreparation; chrysophanol; aloe-emodin; emodin; physcion.">anthraquinones; isolation; extraction; polarity; chromatography; precipitation; bioactivity; phytopreparation; chrysophanol; aloe-emodin; emodin; physcion.</a> </p> <a href="https://publications.waset.org/abstracts/11437/technologies-of-isolation-and-separation-of-anthraquinone-derivatives" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11437.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">341</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">12572</span> Motivation and Quality Teaching of Chinese Language: Analysis of Secondary School Studies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Robyn%20Moloney">Robyn Moloney</a>, <a href="https://publications.waset.org/abstracts/search?q=HuiLing%20Xu"> HuiLing Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many countries wish to produce Asia-literate citizens, through language education. International contexts of Chinese language education are seeking pedagogical innovation to meet local contextual factors frequently holding back learner success. In multicultural Australia, innovative pedagogy is urgently needed to support motivation in sustained study, with greater strategic integration of technology. This research took a qualitative approach to identify need and solutions. The paper analyses strategies that three secondary school teachers are adopting to meet specific challenges in the Australian context. The data include teacher interviews, classroom observations and student interviews. We highlight the use of task-based learning and differentiated teaching for multilevel classes, and the role which digital technologies play in facilitating both areas. The strategy examples are analysed in reference both to a research-based framework for describing quality teaching, and to current understandings of motivation in language learning. The analysis of data identifies learning featuring deep knowledge, higher-order thinking, engagement, social support, utilisation of background knowledge, and connectedness, all of which work towards the learners having a sense of autonomy and an imagination of becoming an adult Chinese language user. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chinese%20pedagogy" title="Chinese pedagogy">Chinese pedagogy</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20technologies" title=" digital technologies"> digital technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=motivation" title=" motivation"> motivation</a>, <a href="https://publications.waset.org/abstracts/search?q=secondary%20school" title=" secondary school"> secondary school</a> </p> <a href="https://publications.waset.org/abstracts/92917/motivation-and-quality-teaching-of-chinese-language-analysis-of-secondary-school-studies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92917.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">268</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">12571</span> Analytical Study of Cobalt(II) and Nickel(II) Extraction with Salicylidene O-, M-, and P-Toluidine in Chloroform</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sana%20Almi">Sana Almi</a>, <a href="https://publications.waset.org/abstracts/search?q=Djamel%20Barkat"> Djamel Barkat </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The solvent extraction of cobalt (II) and nickel (II) from aqueous sulfate solutions were investigated with the analytical methods of slope analysis using salicylidene aniline and the three isomeric o-, m- and p-salicylidene toluidine diluted with chloroform at 25°C. By a statistical analysis of the extraction data, it was concluded that the extracted species are CoL2 with CoL2(HL) and NiL2 (HL denotes HSA, HSOT, HSMT, and HSPT). The extraction efficiency of Co(II) was higher than Ni(II). This tendency is confirmed from numerical extraction constants for each metal cations. The best extraction was according to the following order: HSMT > HSPT > HSOT > HSA for Co2+ and Ni2+. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=solvent%20extraction" title="solvent extraction">solvent extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=nickel%28II%29" title=" nickel(II)"> nickel(II)</a>, <a href="https://publications.waset.org/abstracts/search?q=cobalt%28II%29" title=" cobalt(II)"> cobalt(II)</a>, <a href="https://publications.waset.org/abstracts/search?q=salicylidene%20aniline" title=" salicylidene aniline"> salicylidene aniline</a>, <a href="https://publications.waset.org/abstracts/search?q=o-" title=" o-"> o-</a>, <a href="https://publications.waset.org/abstracts/search?q=m-" title=" m-"> m-</a>, <a href="https://publications.waset.org/abstracts/search?q=and%20p-salicylidene%20toluidine" title=" and p-salicylidene toluidine"> and p-salicylidene toluidine</a> </p> <a href="https://publications.waset.org/abstracts/21677/analytical-study-of-cobaltii-and-nickelii-extraction-with-salicylidene-o-m-and-p-toluidine-in-chloroform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21677.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">484</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=technologies%20of%20the%20contextual%20knowledge%20extraction&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=technologies%20of%20the%20contextual%20knowledge%20extraction&page=3">3</a></li> <li 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