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extraction</title> <meta name="description" content="Search results for: keyword extraction"> <meta name="keywords" content="keyword extraction"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="keyword extraction"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2056</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: keyword extraction</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2056</span> Graph-Based Semantical Extractive Text Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mina%20Samizadeh">Mina Samizadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the past few decades, there has been an explosion in the amount of available data produced from various sources with different topics. The availability of this enormous data necessitates us to adopt effective computational tools to explore the data. This leads to an intense growing interest in the research community to develop computational methods focused on processing this text data. A line of study focused on condensing the text so that we are able to get a higher level of understanding in a shorter time. The two important tasks to do this are keyword extraction and text summarization. In keyword extraction, we are interested in finding the key important words from a text. This makes us familiar with the general topic of a text. In text summarization, we are interested in producing a short-length text which includes important information about the document. The TextRank algorithm, an unsupervised learning method that is an extension of the PageRank (algorithm which is the base algorithm of Google search engine for searching pages and ranking them), has shown its efficacy in large-scale text mining, especially for text summarization and keyword extraction. This algorithm can automatically extract the important parts of a text (keywords or sentences) and declare them as a result. However, this algorithm neglects the semantic similarity between the different parts. In this work, we improved the results of the TextRank algorithm by incorporating the semantic similarity between parts of the text. Aside from keyword extraction and text summarization, we develop a topic clustering algorithm based on our framework, which can be used individually or as a part of generating the summary to overcome coverage problems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=keyword%20extraction" title="keyword extraction">keyword extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=n-gram%20extraction" title=" n-gram extraction"> n-gram extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20summarization" title=" text summarization"> text summarization</a>, <a href="https://publications.waset.org/abstracts/search?q=topic%20clustering" title=" topic clustering"> topic clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic%20analysis" title=" semantic analysis"> semantic analysis</a> </p> <a href="https://publications.waset.org/abstracts/160526/graph-based-semantical-extractive-text-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160526.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">72</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">2055</span> The Impact of Keyword and Full Video Captioning on Listening Comprehension</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Elias%20Bensalem">Elias Bensalem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigates the effect of two types of captioning (full and keyword captioning) on listening comprehension. Thirty-six university-level EFL students participated in the study. They were randomly assigned to watch three video clips under three conditions. The first group watched the video clips with full captions. The second group watched the same video clips with keyword captions. The control group watched the video clips without captions. After watching each clip, participants took a listening comprehension test. At the end of the experiment, participants completed a questionnaire to measure their perceptions about the use of captions and the video clips they watched. Results indicated that the full captioning group significantly outperformed both the keyword captioning and the no captioning group on the listening comprehension tests. However, this study did not find any significant difference between the keyword captioning group and the no captioning group. Results of the survey suggest that keyword captioning were a source of distraction for participants. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=captions" title="captions">captions</a>, <a href="https://publications.waset.org/abstracts/search?q=EFL" title=" EFL"> EFL</a>, <a href="https://publications.waset.org/abstracts/search?q=listening%20comprehension" title=" listening comprehension"> listening comprehension</a>, <a href="https://publications.waset.org/abstracts/search?q=video" title=" video"> video</a> </p> <a href="https://publications.waset.org/abstracts/62467/the-impact-of-keyword-and-full-video-captioning-on-listening-comprehension" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62467.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">262</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">2054</span> Empirical Study on Factors Influencing SEO</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pakinee%20Aimmanee">Pakinee Aimmanee</a>, <a href="https://publications.waset.org/abstracts/search?q=Phoom%20Chokratsamesiri"> Phoom Chokratsamesiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Search engine has become an essential tool nowadays for people to search for their needed information on the internet. In this work, we evaluate the performance of the search engine from three factors: the keyword frequency, the number of inbound links, and the difficulty of the keyword. The evaluations are based on the ranking position and the number of days that Google has seen or detect the webpage. We find that the keyword frequency and the difficulty of the keyword do not affect the Google ranking where the number of inbound links gives remarkable improvement of the ranking position. The optimal number of inbound links found in the experiment is 10. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SEO" title="SEO">SEO</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20retrieval" title=" information retrieval"> information retrieval</a>, <a href="https://publications.waset.org/abstracts/search?q=web%20search" title=" web search"> web search</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20technologies" title=" knowledge technologies"> knowledge technologies</a> </p> <a href="https://publications.waset.org/abstracts/9414/empirical-study-on-factors-influencing-seo" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9414.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">283</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">2053</span> Keyword Network Analysis on the Research Trends of Life-Long Education for People with Disabilities in Korea</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jakyoung%20Kim">Jakyoung Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sungwook%20Jang"> Sungwook Jang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study is to examine the research trends of life-long education for people with disabilities using a keyword network analysis. For this purpose, 151 papers were selected from 594 papers retrieved using keywords such as 'people with disabilities' and 'life-long education' in the Korean Education and Research Information Service. The Keyword network analysis was constructed by extracting and coding the keyword used in the title of the selected papers. The frequency of the extracted keywords, the centrality of degree, and betweenness was analyzed by the keyword network. The results of the keyword network analysis are as follows. First, the main keywords that appeared frequently in the study of life-long education for people with disabilities were 'people with disabilities', 'life-long education', 'developmental disabilities', 'current situations', 'development'. The research trends of life-long education for people with disabilities are focused on the current status of the life-long education and the program development. Second, the keyword network analysis and visualization showed that the keywords with high frequency of occurrences also generally have high degree centrality and betweenness centrality. In terms of the keyword network diagram, it was confirmed that research trends of life-long education for people with disabilities are centered on six prominent keywords. Based on these results, it was discussed that life-long education for people with disabilities in the future needs to expand the subjects and the supporting areas of the life-long education, and the research needs to be further expanded into more detailed and specific areas.  <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=life-long%20education" title="life-long education">life-long education</a>, <a href="https://publications.waset.org/abstracts/search?q=people%20with%20disabilities" title=" people with disabilities"> people with disabilities</a>, <a href="https://publications.waset.org/abstracts/search?q=research%20trends" title=" research trends"> research trends</a>, <a href="https://publications.waset.org/abstracts/search?q=keyword%20network%20analysis" title=" keyword network analysis"> keyword network analysis</a> </p> <a href="https://publications.waset.org/abstracts/72646/keyword-network-analysis-on-the-research-trends-of-life-long-education-for-people-with-disabilities-in-korea" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72646.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">338</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">2052</span> Modified Active (MA) Algorithm to Generate Semantic Web Related Clustered Hierarchy for Keyword Search</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20Leena%20Giri">G. Leena Giri</a>, <a href="https://publications.waset.org/abstracts/search?q=Archana%20Mathur"> Archana Mathur</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20H.%20Manjula"> S. H. Manjula</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20R.%20Venugopal"> K. R. Venugopal</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20M.%20Patnaik"> L. M. Patnaik</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Keyword search in XML documents is based on the notion of lowest common ancestors in the labelled trees model of XML documents and has recently gained a lot of research interest in the database community. In this paper, we propose the Modified Active (MA) algorithm which is an improvement over the active clustering algorithm by taking into consideration the entity aspect of the nodes to find the level of the node pertaining to a particular keyword input by the user. A portion of the bibliography database is used to experimentally evaluate the modified active algorithm and results show that it performs better than the active algorithm. Our modification improves the response time of the system and thereby increases the efficiency of the system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=keyword%20matching%20patterns" title="keyword matching patterns">keyword matching patterns</a>, <a href="https://publications.waset.org/abstracts/search?q=MA%20algorithm" title=" MA algorithm"> MA algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic%20search" title=" semantic search"> semantic search</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20management" title=" knowledge management"> knowledge management</a> </p> <a href="https://publications.waset.org/abstracts/6608/modified-active-ma-algorithm-to-generate-semantic-web-related-clustered-hierarchy-for-keyword-search" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6608.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">415</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">2051</span> Finding Related Scientific Documents Using Formal Concept Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nadeem%20Akhtar">Nadeem Akhtar</a>, <a href="https://publications.waset.org/abstracts/search?q=Hira%20Javed"> Hira Javed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An important aspect of research is literature survey. Availability of a large amount of literature across different domains triggers the need for optimized systems which provide relevant literature to researchers. We propose a search system based on keywords for text documents. This experimental approach provides a hierarchical structure to the document corpus. The documents are labelled with keywords using KEA (Keyword Extraction Algorithm) and are automatically organized in a lattice structure using Formal Concept Analysis (FCA). This groups the semantically related documents together. The hierarchical structure, based on keywords gives out only those documents which precisely contain them. This approach open doors for multi-domain research. The documents across multiple domains which are indexed by similar keywords are grouped together. A hierarchical relationship between keywords is obtained. To signify the effectiveness of the approach, we have carried out the experiment and evaluation on Semeval-2010 Dataset. Results depict that the presented method is considerably successful in indexing of scientific papers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=formal%20concept%20analysis" title="formal concept analysis">formal concept analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=keyword%20extraction%20algorithm" title=" keyword extraction algorithm"> keyword extraction algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=scientific%20documents" title=" scientific documents"> scientific documents</a>, <a href="https://publications.waset.org/abstracts/search?q=lattice" title=" lattice"> lattice</a> </p> <a href="https://publications.waset.org/abstracts/71401/finding-related-scientific-documents-using-formal-concept-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71401.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">334</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">2050</span> Analyzing Keyword Networks for the Identification of Correlated Research Topics </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thiago%20M.%20R.%20Dias">Thiago M. R. Dias</a>, <a href="https://publications.waset.org/abstracts/search?q=Patr%C3%ADcia%20M.%20Dias"> Patrícia M. Dias</a>, <a href="https://publications.waset.org/abstracts/search?q=Gray%20F.%20Moita"> Gray F. Moita</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The production and publication of scientific works have increased significantly in the last years, being the Internet the main factor of access and distribution of these works. Faced with this, there is a growing interest in understanding how scientific research has evolved, in order to explore this knowledge to encourage research groups to become more productive. Therefore, the objective of this work is to explore repositories containing data from scientific publications and to characterize keyword networks of these publications, in order to identify the most relevant keywords, and to highlight those that have the greatest impact on the network. To do this, each article in the study repository has its keywords extracted and in this way the network is  characterized, after which several metrics for social network analysis are applied for the identification of the highlighted keywords. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bibliometrics" title="bibliometrics">bibliometrics</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20analysis" title=" data analysis"> data analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=extraction%20and%20data%20integration" title=" extraction and data integration"> extraction and data integration</a>, <a href="https://publications.waset.org/abstracts/search?q=scientometrics" title=" scientometrics"> scientometrics</a> </p> <a href="https://publications.waset.org/abstracts/67802/analyzing-keyword-networks-for-the-identification-of-correlated-research-topics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67802.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">260</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">2049</span> Optimization Query Image Using Search Relevance Re-Ranking Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20G.%20Asmitha%20Chandini">T. G. Asmitha Chandini</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Web-based image search re-ranking, as an successful method to get better the results. In a query keyword, the first stair is store the images is first retrieve based on the text-based information. The user to select a query keywordimage, by using this query keyword other images are re-ranked based on their visual properties with images.Now a day to day, people projected to match images in a semantic space which is used attributes or reference classes closely related to the basis of semantic image. though, understanding a worldwide visual semantic space to demonstrate highly different images from the web is difficult and inefficient. The re-ranking images, which automatically offline part learns dissimilar semantic spaces for different query keywords. The features of images are projected into their related semantic spaces to get particular images. At the online stage, images are re-ranked by compare their semantic signatures obtained the semantic précised by the query keyword image. The query-specific semantic signatures extensively improve both the proper and efficiency of image re-ranking. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Query" title="Query">Query</a>, <a href="https://publications.waset.org/abstracts/search?q=keyword" title=" keyword"> keyword</a>, <a href="https://publications.waset.org/abstracts/search?q=image" title=" image"> image</a>, <a href="https://publications.waset.org/abstracts/search?q=re-ranking" title=" re-ranking"> re-ranking</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic" title=" semantic"> semantic</a>, <a href="https://publications.waset.org/abstracts/search?q=signature" title=" signature"> signature</a> </p> <a href="https://publications.waset.org/abstracts/28398/optimization-query-image-using-search-relevance-re-ranking-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28398.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">553</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">2048</span> Effect of the Keyword Strategy on Lexical Semantic Acquisition: Recognition, Retention and Comprehension in an English as Second Language Context</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fatima%20Muhammad%20Shitu">Fatima Muhammad Shitu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study seeks to investigate the effect of the keyword strategy on lexico–semantic acquisition, recognition, retention and comprehension in an ESL context. The aim of the study is to determine whether the keyword strategy can be used to enhance acquisition. As a quasi- experimental research, the objectives of the study include: To determine the extent to which the scores obtained by the subjects, who were trained on the use of the keyword strategy for acquisition, differ at the pre-tests and the post–tests and also to find out the relationship in the scores obtained at these tests levels. The sample for the study consists of 300 hundred undergraduate ESL Students in the Federal College of Education, Kano. The seventy-five lexical items for acquisition belong to the lexical field category known as register, and they include Medical, Agriculture and Photography registers (MAP). These were divided in the ratio twenty-five (25) lexical items in each lexical field. The testing technique was used to collect the data while the descriptive and inferential statistics were employed for data analysis. For the purpose of testing, the two kinds of tests administered at each test level include the WARRT (Word Acquisition, Recognition, and Retention Test) and the CCPT (Cloze Comprehension Passage Test). The results of the study revealed that there are significant differences in the scores obtained between the pre-tests, and the post–tests and there are no correlations in the scores obtained as well. This implies that the keyword strategy has effectively enhanced the acquisition of the lexical items studied. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=keyword" title="keyword">keyword</a>, <a href="https://publications.waset.org/abstracts/search?q=lexical" title=" lexical"> lexical</a>, <a href="https://publications.waset.org/abstracts/search?q=semantics" title=" semantics"> semantics</a>, <a href="https://publications.waset.org/abstracts/search?q=strategy" title=" strategy"> strategy</a> </p> <a href="https://publications.waset.org/abstracts/50708/effect-of-the-keyword-strategy-on-lexical-semantic-acquisition-recognition-retention-and-comprehension-in-an-english-as-second-language-context" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50708.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">313</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2047</span> Keyword Advertising: Still Need Construction in European Union; Perspective on Interflora vs. Marks and Spencer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammadbagher%20Asghariaghamashhadi">Mohammadbagher Asghariaghamashhadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Internet users normally are automatically linked to an advertisement sponsored by a bidder when Internet users enter any trademarked keyword on a search engine. This advertisement appears beside the search results. Through the process of keyword advertising, advertisers can connect with many Internet users and let them know about their goods and services. This concept has generated heated disagreements among legal scholars, trademark proprietors, advertisers, search engine owners, and consumers. Therefore, use of trademarks in keyword advertising has been one of the most debatable issues in trademark law for several years. This entirely new way of using trademarks over the Internet has provoked a discussion concerning the core concepts of trademark law. In respect to legal issues, European Union (EU) trademark law is mostly governed by the Trademark Directive and the Community Trademark Regulation. Article 5 of the directive and Article 9 of the trademark regulation determine the circumstances in which a trademark owner holds the right to prohibit a third party’s use of his/her registered sign. Harmonized EU trademark law proved to be ambiguous on whether using of a trademark is amounted to trademark infringement or not. The case law of the European Court of Justice (ECJ), with reference to this legislation, is mostly unfavorable to trademark owners. This ambivalence was also exhibited by the case law of EU Member States. European keyword advertisers simply could not tell which use of a competitor‘s trademark was lawful. In recent years, ECJ has continuously expanded the scope and reach of trademark protection in the EU. It is notable that Inconsistencies in the Court’s system of infringement criteria clearly come to the fore and this approach has been criticized by analysts who believe that the Court should have adopted a more traditional approach to the analysis of trademark infringement, which was suggested by its Advocate General, in order to arrive at the same conclusion. Regarding case law of keyword advertising within Europe, one of the most disputable cases is Interflora vs. Marks and Spencer, which is still on-going. This study examines and critically analyzes the decisions of the ECJ, the high court of England, and the Court of Appeals of England and address critically keyword advertising issue within European trademark legislation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ECJ" title="ECJ">ECJ</a>, <a href="https://publications.waset.org/abstracts/search?q=Google" title=" Google"> Google</a>, <a href="https://publications.waset.org/abstracts/search?q=Interflora" title=" Interflora"> Interflora</a>, <a href="https://publications.waset.org/abstracts/search?q=keyword%20advertising" title=" keyword advertising"> keyword advertising</a>, <a href="https://publications.waset.org/abstracts/search?q=Marks%20and%20Spencer" title=" Marks and Spencer"> Marks and Spencer</a>, <a href="https://publications.waset.org/abstracts/search?q=trademark%20infringement" title=" trademark infringement"> trademark infringement</a> </p> <a href="https://publications.waset.org/abstracts/51502/keyword-advertising-still-need-construction-in-european-union-perspective-on-interflora-vs-marks-and-spencer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51502.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">346</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">2046</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">435</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">2045</span> An Open Source Advertisement System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pushkar%20Umaranikar">Pushkar Umaranikar</a>, <a href="https://publications.waset.org/abstracts/search?q=Chris%20Pollett"> Chris Pollett</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An online advertisement system and its implementation for the Yioop open source search engine are presented. This system supports both selling advertisements and displaying them within search results. The selling of advertisements is done using a system to auction off daily impressions for keyword searches. This is an open, ascending price auction system in which all accepted bids will receive a fraction of the auctioned day’s impressions. New bids in our system are required to be at least one half of the sum of all previous bids ensuring the number of accepted bids is logarithmic in the total ad spend on a keyword for a day. The mechanics of creating an advertisement, attaching keywords to it, and adding it to an advertisement inventory are described. The algorithm used to go from accepted bids for a keyword to which ads are displayed at search time is also presented. We discuss properties of our system and compare it to existing auction systems and systems for selling online advertisements. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=online%20markets" title="online markets">online markets</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20ad%20system" title=" online ad system"> online ad system</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20auctions" title=" online auctions"> online auctions</a>, <a href="https://publications.waset.org/abstracts/search?q=search%20engines" title=" search engines"> search engines</a> </p> <a href="https://publications.waset.org/abstracts/46605/an-open-source-advertisement-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46605.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">326</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">2044</span> Identification of Spam Keywords Using Hierarchical Category in C2C E-Commerce</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shao%20Bo%20Cheng">Shao Bo Cheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong-Jin%20Han"> Yong-Jin Han</a>, <a href="https://publications.waset.org/abstracts/search?q=Se%20Young%20Park"> Se Young Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Seong-Bae%20Park"> Seong-Bae Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Consumer-to-Consumer (C2C) E-commerce has been growing at a very high speed in recent years. Since identical or nearly-same kinds of products compete one another by relying on keyword search in C2C E-commerce, some sellers describe their products with spam keywords that are popular but are not related to their products. Though such products get more chances to be retrieved and selected by consumers than those without spam keywords, the spam keywords mislead the consumers and waste their time. This problem has been reported in many commercial services like e-bay and taobao, but there have been little research to solve this problem. As a solution to this problem, this paper proposes a method to classify whether keywords of a product are spam or not. The proposed method assumes that a keyword for a given product is more reliable if the keyword is observed commonly in specifications of products which are the same or the same kind as the given product. This is because that a hierarchical category of a product in general determined precisely by a seller of the product and so is the specification of the product. Since higher layers of the hierarchical category represent more general kinds of products, a reliable degree is differently determined according to the layers. Hence, reliable degrees from different layers of a hierarchical category become features for keywords and they are used together with features only from specifications for classification of the keywords. Support Vector Machines are adopted as a basic classifier using the features, since it is powerful, and widely used in many classification tasks. In the experiments, the proposed method is evaluated with a golden standard dataset from Yi-han-wang, a Chinese C2C e-commerce, and is compared with a baseline method that does not consider the hierarchical category. The experimental results show that the proposed method outperforms the baseline in F1-measure, which proves that spam keywords are effectively identified by a hierarchical category in C2C e-commerce. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=spam%20keyword" title="spam keyword">spam keyword</a>, <a href="https://publications.waset.org/abstracts/search?q=e-commerce" title=" e-commerce"> e-commerce</a>, <a href="https://publications.waset.org/abstracts/search?q=keyword%20features" title=" keyword features"> keyword features</a>, <a href="https://publications.waset.org/abstracts/search?q=spam%20%EF%AC%81ltering" title=" spam ﬁltering"> spam ﬁltering</a> </p> <a href="https://publications.waset.org/abstracts/15501/identification-of-spam-keywords-using-hierarchical-category-in-c2c-e-commerce" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15501.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">294</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">2043</span> Sentence vs. Keyword Content Analysis in Intellectual Capital Disclosures Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Martin%20Surya%20Mulyadi">Martin Surya Mulyadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Yunita%20Anwar"> Yunita Anwar</a>, <a href="https://publications.waset.org/abstracts/search?q=Rosinta%20Ria%20Panggabean"> Rosinta Ria Panggabean</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Major transformations in economic activity from an agricultural economy to knowledge economy have led to an increasing focus on intellectual capital (IC) that has been characterized by continuous innovation, the spread of digital and communication technologies, intangible and human factors. IC is defined as the possession of knowledge and experience, professional knowledge and skill, proper relationships and technological capacities, which when applied will give organizations a competitive advantage. All of IC report/disclosure could be captured from the corporate annual report as it is a communication device that allows a corporation to connect with various external and internal stakeholders. This study was conducted using sentence-content analysis of IC disclosure in the annual report. This research aims to analyze whether the keyword-content analysis is reliable research methodology for IC disclosure related research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intellectual%20capital" title="intellectual capital">intellectual capital</a>, <a href="https://publications.waset.org/abstracts/search?q=intellectual%20capital%20disclosure" title=" intellectual capital disclosure"> intellectual capital disclosure</a>, <a href="https://publications.waset.org/abstracts/search?q=content%20analysis" title=" content analysis"> content analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=annual%20report" title=" annual report"> annual report</a>, <a href="https://publications.waset.org/abstracts/search?q=sentence%20analysis" title=" sentence analysis"> sentence analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=keyword%20analysis" title=" keyword analysis"> keyword analysis</a> </p> <a href="https://publications.waset.org/abstracts/66892/sentence-vs-keyword-content-analysis-in-intellectual-capital-disclosures-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66892.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">368</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">2042</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">485</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">2041</span> Extraction of Essential Oil From Orange Peels</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aayush%20Bhisikar">Aayush Bhisikar</a>, <a href="https://publications.waset.org/abstracts/search?q=Neha%20Rajas"> Neha Rajas</a>, <a href="https://publications.waset.org/abstracts/search?q=Aditya%20Bhingare"> Aditya Bhingare</a>, <a href="https://publications.waset.org/abstracts/search?q=Samarth%20Bhandare"> Samarth Bhandare</a>, <a href="https://publications.waset.org/abstracts/search?q=Amruta%20Amrurkar"> Amruta Amrurkar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Orange peels are currently thrown away as garbage in India after orange fruits' edible components are consumed. However, the nation depends on important essential oils for usage in companies that produce goods, including food, beverages, cosmetics, and medicines. This study was conducted to show how to effectively use it. By using various extraction techniques, orange peel is used in the creation of essential oils. Stream distillation, water distillation, and solvent extraction were the techniques taken into consideration in this paper. Due to its relative prevalence among the extraction techniques, Design Expert 7.0 was used to plan an experimental run for solvent extraction. Oil was examined to ascertain its physical and chemical characteristics after extraction. It was determined from the outcomes that the orange peels. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=orange%20peels" title="orange peels">orange peels</a>, <a href="https://publications.waset.org/abstracts/search?q=extraction" title=" extraction"> extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=essential%20oil" title=" essential oil"> essential oil</a>, <a href="https://publications.waset.org/abstracts/search?q=distillation" title=" distillation"> distillation</a> </p> <a href="https://publications.waset.org/abstracts/173039/extraction-of-essential-oil-from-orange-peels" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173039.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">88</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">2040</span> Extraction of Essential Oil from Orange Peels</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neha%20Rajas">Neha Rajas</a>, <a href="https://publications.waset.org/abstracts/search?q=Aayush%20Bhisikar"> Aayush Bhisikar</a>, <a href="https://publications.waset.org/abstracts/search?q=Samarth%20Bhandare"> Samarth Bhandare</a>, <a href="https://publications.waset.org/abstracts/search?q=Aditya%20Bhingare"> Aditya Bhingare</a>, <a href="https://publications.waset.org/abstracts/search?q=Amruta%20Amrutkar"> Amruta Amrutkar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Orange peels are currently thrown away as garbage in India after orange fruits' edible components are consumed. However, the nation depends on important essential oils for usage in companies that produce goods, including food, beverages, cosmetics, and medicines. This study was conducted to show how to effectively use it. By using various extraction techniques, orange peel is used in the creation of essential oils. Stream distillation, water distillation, and solvent extraction were the techniques taken into consideration in this paper. Due to its relative prevalence among the extraction techniques, Design Expert 7.0 was used to plan an experimental run for solvent extraction. Oil was examined to ascertain its physical and chemical characteristics after extraction. It was determined from the outcomes that the orange peels. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=orange%20peels" title="orange peels">orange peels</a>, <a href="https://publications.waset.org/abstracts/search?q=extraction" title=" extraction"> extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=distillation" title=" distillation"> distillation</a>, <a href="https://publications.waset.org/abstracts/search?q=essential%20oil" title=" essential oil"> essential oil</a> </p> <a href="https://publications.waset.org/abstracts/173321/extraction-of-essential-oil-from-orange-peels" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173321.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">81</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">2039</span> Measuring Text-Based Semantics Relatedness Using WordNet</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Madiha%20Khan">Madiha Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Sidrah%20Ramzan"> Sidrah Ramzan</a>, <a href="https://publications.waset.org/abstracts/search?q=Seemab%20Khan"> Seemab Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Shahzad%20Hassan"> Shahzad Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamran%20Saeed"> Kamran Saeed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Measuring semantic similarity between texts is calculating semantic relatedness between texts using various techniques. Our web application (Measuring Relatedness of Concepts-MRC) allows user to input two text corpuses and get semantic similarity percentage between both using WordNet. Our application goes through five stages for the computation of semantic relatedness. Those stages are: Preprocessing (extracts keywords from content), Feature Extraction (classification of words into Parts-of-Speech), Synonyms Extraction (retrieves synonyms against each keyword), Measuring Similarity (using keywords and synonyms, similarity is measured) and Visualization (graphical representation of similarity measure). Hence the user can measure similarity on basis of features as well. The end result is a percentage score and the word(s) which form the basis of similarity between both texts with use of different tools on same platform. In future work we look forward for a Web as a live corpus application that provides a simpler and user friendly tool to compare documents and extract useful information. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Graphviz%20representation" title="Graphviz representation">Graphviz representation</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic%20relatedness" title=" semantic relatedness"> semantic relatedness</a>, <a href="https://publications.waset.org/abstracts/search?q=similarity%20measurement" title=" similarity measurement"> similarity measurement</a>, <a href="https://publications.waset.org/abstracts/search?q=WordNet%20similarity" title=" WordNet similarity"> WordNet similarity</a> </p> <a href="https://publications.waset.org/abstracts/95106/measuring-text-based-semantics-relatedness-using-wordnet" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95106.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">2038</span> Microwave-Assisted Extraction of Lycopene from Gac Arils (Momordica cochinchinensis (Lour.) Spreng)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yardfon%20Tanongkankit">Yardfon Tanongkankit</a>, <a href="https://publications.waset.org/abstracts/search?q=Kanjana%20Narkprasom"> Kanjana Narkprasom</a>, <a href="https://publications.waset.org/abstracts/search?q=Nukrob%20Narkprasom"> Nukrob Narkprasom</a>, <a href="https://publications.waset.org/abstracts/search?q=Khwanruthai%20Saiupparat"> Khwanruthai Saiupparat</a>, <a href="https://publications.waset.org/abstracts/search?q=Phatthareeya%20Siriwat"> Phatthareeya Siriwat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Gac fruit (Momordica cochinchinensis (Lour.) Spreng) possesses high potential for health food as it contains high lycopene contents. The objective of this study was to optimize the extraction of lycopene from gac arils using the microwave extraction method. Response surface method was used to find the conditions that optimize the extraction of lycopene from gac arils. The parameters of extraction used in this study were extraction time (120-600 seconds), the solvent to sample ratio (10:1, 20:1, 30:1, 40:1 and 50:1 mL/g) and set microwave power (100-800 watts). The results showed that the microwave extraction condition at the extraction time of 360 seconds, the sample ratio of 30:1 mL/g and the microwave power of 450 watts were suggested since it exhibited the highest value of lycopene content of 9.86 mg/gDW. It was also observed that lycopene contents extracted from gac arils by microwave method were higher than that by the conventional method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conventional%20extraction" title="conventional extraction">conventional extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=Gac%20arils" title=" Gac arils"> Gac arils</a>, <a href="https://publications.waset.org/abstracts/search?q=microwave-assisted%20extraction" title=" microwave-assisted extraction"> microwave-assisted extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=Lycopene" title=" Lycopene"> Lycopene</a> </p> <a href="https://publications.waset.org/abstracts/62117/microwave-assisted-extraction-of-lycopene-from-gac-arils-momordica-cochinchinensis-lour-spreng" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62117.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">391</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">2037</span> Solvent extraction of molybdenum (VI) with two organophosphorus reagents TBP and D2EHPA under microwave irradiations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Boucherit">Ahmed Boucherit</a>, <a href="https://publications.waset.org/abstracts/search?q=Hussein%20Khalaf"> Hussein Khalaf</a>, <a href="https://publications.waset.org/abstracts/search?q=Eduardo%20Paredes"> Eduardo Paredes</a>, <a href="https://publications.waset.org/abstracts/search?q=Jos%C3%A9%20Luis%20Todol%C3%AD"> José Luis Todolí</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Solvent extraction studies of molybdenum (VI) with two organophosphorus reagents namely TBP and D2EHPA have been carried out from aqueous acidic solutions of HCl, H2SO4 and H3PO4 under microwave irradiations. The extraction efficiencies of the investigated extractants in the extraction of molybdenum (Vl) were compared. Extraction yield was found unchanged when microwave power varied in the range 20-100 Watts from H2SO4 or H3PO4 but it decreases in the range 20-60 Watts and increases in the range 60-100 Watts when TBP is used for extraction of molybdenum (VI) from 1 M HCl solutions. Extraction yield of molybdenum (VI) was found higher with TBP for HCl molarities greater than 1 M than with D2EHPA for H3PO4 molarities lower than 1 M. Extraction yield increases with HCl molarities in the range 0.50 - 1.80 M but it decreases with the increase in H2SO4 and H3PO4 molarities in the range of 0.05 - 1 M and 0.50 - 1 M, respectively. <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=molybdenum" title=" molybdenum"> molybdenum</a>, <a href="https://publications.waset.org/abstracts/search?q=microwave" title=" microwave"> microwave</a>, <a href="https://publications.waset.org/abstracts/search?q=solvent" title=" solvent"> solvent</a> </p> <a href="https://publications.waset.org/abstracts/22227/solvent-extraction-of-molybdenum-vi-with-two-organophosphorus-reagents-tbp-and-d2ehpa-under-microwave-irradiations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22227.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">643</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">2036</span> Optimization of Extraction Conditions for Phenolic Compounds from Deverra Scoparia Coss and Dur</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Roukia%20Hammoudi">Roukia Hammoudi</a>, <a href="https://publications.waset.org/abstracts/search?q=Chabrouk%20Farid"> Chabrouk Farid</a>, <a href="https://publications.waset.org/abstracts/search?q=Dehak%20Karima"> Dehak Karima</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahfoud%20Hadj%20Mahammed"> Mahfoud Hadj Mahammed</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Didi%20Ouldelhadj"> Mohamed Didi Ouldelhadj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this study was to optimise the extraction conditions for phenolic compounds from Deverra scoparia Coss and Dur. Apiaceae plant by ultrasound assisted extraction (UAE). The effects of solvent type (acetone, ethanol and methanol), solvent concentration (%), extraction time (mins) and extraction temperature (°C) on total phenolic content (TPC) were determined. The optimum extraction conditions were found to be acetone concentration of 80%, extraction time of 25 min and extraction temperature of 25°C. Under the optimized conditions, the value for TPC was 9.68 ± 1.05 mg GAE/g of extract. The study of the antioxidant power of these oils was performed by the method of DPPH. The results showed that antioxidant activity of the Deverra scoparia essential oil was more effective as compared to ascorbic acid and trolox. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deverra%20scoparia" title="Deverra scoparia">Deverra scoparia</a>, <a href="https://publications.waset.org/abstracts/search?q=phenolic%20compounds" title=" phenolic compounds"> phenolic compounds</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrasound%20assisted%20extraction" title=" ultrasound assisted extraction"> ultrasound assisted extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=total%20phenolic%20content" title=" total phenolic content"> total phenolic content</a>, <a href="https://publications.waset.org/abstracts/search?q=antioxidant%20activity" title=" antioxidant activity"> antioxidant activity</a> </p> <a href="https://publications.waset.org/abstracts/23755/optimization-of-extraction-conditions-for-phenolic-compounds-from-deverra-scoparia-coss-and-dur" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23755.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">603</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">2035</span> Optimization of Extraction Conditions for Phenolic Compounds from Deverra scoparia Coss. and Dur</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Roukia%20Hammoudi">Roukia Hammoudi</a>, <a href="https://publications.waset.org/abstracts/search?q=Dehak%20Karima"> Dehak Karima</a>, <a href="https://publications.waset.org/abstracts/search?q=Chabrouk%20Farid"> Chabrouk Farid</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahfoud%20Hadj%20Mahammed"> Mahfoud Hadj Mahammed</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Didi%20Ouldelhadj"> Mohamed Didi Ouldelhadj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this study was to optimise the extraction conditions for phenolic compounds from Deverra scoparia Coss and Dur. Apiaceae plant by ultrasound assisted extraction (UAE). The effects of solvent type (Acetone, Ethanol and methanol), solvent concentration (%), extraction time (mins) and extraction temperature (°C) on total phenolic content (TPC) were determined. the optimum extraction conditions were found to be acetone concentration of 80%, extraction time of 25 min and extraction temperature of 25°C. Under the optimized conditions, the value for TPC was 9.68 ± 1.05 mg GAE/g of extract. The study of the antioxidant power of these oils was performed by the method of DPPH. The results showed that antioxidant activity of the Deverra scoparia essential oil was more effective as compared to ascorbic acid and trolox. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deverra%20scoparia" title="Deverra scoparia">Deverra scoparia</a>, <a href="https://publications.waset.org/abstracts/search?q=phenolic%20compounds" title=" phenolic compounds"> phenolic compounds</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrasound%20assisted%20extraction" title=" ultrasound assisted extraction"> ultrasound assisted extraction</a>, <a href="https://publications.waset.org/abstracts/search?q=total%20phenolic%20content" title=" total phenolic content"> total phenolic content</a>, <a href="https://publications.waset.org/abstracts/search?q=antioxidant%20activity" title=" antioxidant activity"> antioxidant activity</a> </p> <a href="https://publications.waset.org/abstracts/25874/optimization-of-extraction-conditions-for-phenolic-compounds-from-deverra-scoparia-coss-and-dur" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25874.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">595</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">2034</span> Change of Flavor Characteristics of Flavor Oil Made Using Sarcodon aspratus (Sarcodon aspratus Berk. S. Ito) According to Extraction Temperature and Extraction Time</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gyeong-Suk%20Jo">Gyeong-Suk Jo</a>, <a href="https://publications.waset.org/abstracts/search?q=Soo-Hyun%20Ji"> Soo-Hyun Ji</a>, <a href="https://publications.waset.org/abstracts/search?q=You-Seok%20Lee"> You-Seok Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeong-Hwa%20Kang"> Jeong-Hwa Kang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To develop an flavor oil using Sarcodon aspratus (Sarcodon aspratus Berk. S. Ito), infiltration extraction method was used to add dried mushroom flavor of Sarcodon aspratus to base olive oil. Edible base oil used during infiltration extraction was pressed olive oil, and infiltration extraction was done while varying extraction temperature to 20, 30, 40 and 50(℃) extraction time to 24 hours, 48 hours and 72 hours. Amount of Sarcodon aspratus added to base oil was 20% compared to 100% of base oil. Production yield of Sarcodon aspratus flavor oil decreased with increasing extraction frequency. Aroma intensity was 2195~2447 (A.U./1㎖), and it increased with increasing extraction temperature and extraction time. Chromaticity of Sarcodon aspratus flavor oil was bright pale yellow with pH of 4.5, sugar content of 71~72 (°Brix), and highest average turbidity of 16.74 (Haze %) shown by the 40℃ group. In the aromatic evaluation, increasing extraction temperature and extraction time resulted in increase of cheese aroma, savory sweet aroma and beef jerky aroma, as well as spicy taste comprised of slight bitter taste, savory taste and slight acrid taste, to make aromatic oil with unique flavor. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Flavor%20Characteristics" title="Flavor Characteristics">Flavor Characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=Flavor%20Oil" title=" Flavor Oil"> Flavor Oil</a>, <a href="https://publications.waset.org/abstracts/search?q=Infiltration%20extraction%20method" title=" Infiltration extraction method"> Infiltration extraction method</a>, <a href="https://publications.waset.org/abstracts/search?q=mushroom" title=" mushroom"> mushroom</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarcodon%20aspratus%20%28Sarcodon%20aspratus%20Berk.%20S.%20Ito%29" title=" Sarcodon aspratus (Sarcodon aspratus Berk. S. Ito)"> Sarcodon aspratus (Sarcodon aspratus Berk. S. Ito)</a> </p> <a href="https://publications.waset.org/abstracts/76522/change-of-flavor-characteristics-of-flavor-oil-made-using-sarcodon-aspratus-sarcodon-aspratus-berk-s-ito-according-to-extraction-temperature-and-extraction-time" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76522.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">376</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">2033</span> Determinaton of Processing Parameters of Decaffeinated Black Tea by Using Pilot-Scale Supercritical CO₂ Extraction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saziye%20Ilgaz">Saziye Ilgaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Atilla%20Polat"> Atilla Polat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There is a need for development of new processing techniques to ensure safety and quality of final product while minimizing the adverse impact of extraction solvents on environment and residue levels of these solvents in final product, decaffeinated black tea. In this study pilot scale supercritical carbon dioxide (SCCO₂) extraction was used to produce decaffeinated black tea in place of solvent extraction. Pressure (250, 375, 500 bar), extraction time (60, 180, 300 min), temperature (55, 62.5, 70 °C), CO₂ flow rate (1, 2 ,3 LPM) and co-solvent quantity (0, 2.5, 5 %mol) were selected as extraction parameters. The five factors BoxBehnken experimental design with three center points was performed to generate 46 different processing conditions for caffeine removal from black tea samples. As a result of these 46 experiments caffeine content of black tea samples were reduced from 2.16 % to 0 – 1.81 %. The experiments showed that extraction time, pressure, CO₂ flow rate and co-solvent quantity had great impact on decaffeination yield. Response surface methodology (RSM) was used to optimize the parameters of the supercritical carbon dioxide extraction. Optimum extraction parameters obtained of decaffeinated black tea were as follows: extraction temperature of 62,5 °C, extraction pressure of 375 bar, CO₂ flow rate of 3 LPM, extraction time of 176.5 min and co-solvent quantity of 5 %mol. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=supercritical%20carbon%20dioxide" title="supercritical carbon dioxide">supercritical carbon dioxide</a>, <a href="https://publications.waset.org/abstracts/search?q=decaffeination" title=" decaffeination"> decaffeination</a>, <a href="https://publications.waset.org/abstracts/search?q=black%20tea" title=" black tea"> black tea</a>, <a href="https://publications.waset.org/abstracts/search?q=extraction" title=" extraction"> extraction</a> </p> <a href="https://publications.waset.org/abstracts/58747/determinaton-of-processing-parameters-of-decaffeinated-black-tea-by-using-pilot-scale-supercritical-co2-extraction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58747.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">365</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">2032</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">240</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">2031</span> Solvent Extraction of Rb and Cs from Jarosite Slag Using t-BAMBP</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhang%20Haiyan">Zhang Haiyan</a>, <a href="https://publications.waset.org/abstracts/search?q=Su%20Zujun"> Su Zujun</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhao%20Fengqi"> Zhao Fengqi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Lepidolite after extraction of Lithium by sulfate produced many jarosite slag which contains a lot of Rb and Cs.The separation and recovery of Rubidium(Rb) and Cesium(Cs) can make full of use of Lithium mica. XRF analysis showed that the slag mainly including K Rb Cs Al and etc. Fractional solvent extraction tests were carried out; the results show that using20% t-BAMBP plus 80% sulfonated kerosene, the separation of Rb and Cs can be achieved by adjusting the alkalinity. Extraction is the order of Cs Rb, ratio of Cs to Rb and ratio of Rb to K can reach above 1500 and 2500 respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cesium" title="cesium">cesium</a>, <a href="https://publications.waset.org/abstracts/search?q=jarosite%20slag" title=" jarosite slag"> jarosite slag</a>, <a href="https://publications.waset.org/abstracts/search?q=rubidium" title=" rubidium"> rubidium</a>, <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=t-BAMBP" title=" t-BAMBP"> t-BAMBP</a> </p> <a href="https://publications.waset.org/abstracts/82683/solvent-extraction-of-rb-and-cs-from-jarosite-slag-using-t-bambp" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82683.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">588</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">2030</span> Removal Cobalt (II) and Copper (II) by Solvent Extraction from Sulfate Solutions by Capric Acid in Chloroform</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Bara">A. Bara</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Barkat"> D. Barkat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Liquid-liquid extraction is one of the most useful techniques for selective removal and recovery of metal ions from aqueous solutions, applied in purification processes in numerous chemical and metallurgical industries. In this work, The liquid-liquid extraction of cobalt (II) and copper (II) from aqueous solution by capric acid (HL) in chloroform at 25°C has been studied. Our interest in this paper is to study the effect of concentration of capric acid on the extraction of Co(II) and Cu(II) to see the complexes could be formed in the organic phase using various concentration of capric acid. The extraction of cobalt (II) and copper (II) is extracted as the complex CoL2 (HL )2, CuL2 (HL)2. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=capric%20acid" title="capric acid">capric acid</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=copper%28II%29" title=" copper(II)"> copper(II)</a>, <a href="https://publications.waset.org/abstracts/search?q=liquid-liquid%20extraction" title=" liquid-liquid extraction "> liquid-liquid extraction </a> </p> <a href="https://publications.waset.org/abstracts/27656/removal-cobalt-ii-and-copper-ii-by-solvent-extraction-from-sulfate-solutions-by-capric-acid-in-chloroform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27656.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">2029</span> Interactive, Topic-Oriented Search Support by a Centroid-Based Text Categorisation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mario%20Kubek">Mario Kubek</a>, <a href="https://publications.waset.org/abstracts/search?q=Herwig%20Unger"> Herwig Unger</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Centroid terms are single words that semantically and topically characterise text documents and so may serve as their very compact representation in automatic text processing. In the present paper, centroids are used to measure the relevance of text documents with respect to a given search query. Thus, a new graphbased paradigm for searching texts in large corpora is proposed and evaluated against keyword-based methods. The first, promising experimental results demonstrate the usefulness of the centroid-based search procedure. It is shown that especially the routing of search queries in interactive and decentralised search systems can be greatly improved by applying this approach. A detailed discussion on further fields of its application completes this contribution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=search%20algorithm" title="search algorithm">search algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=centroid" title=" centroid"> centroid</a>, <a href="https://publications.waset.org/abstracts/search?q=query" title=" query"> query</a>, <a href="https://publications.waset.org/abstracts/search?q=keyword" title=" keyword"> keyword</a>, <a href="https://publications.waset.org/abstracts/search?q=co-occurrence" title=" co-occurrence"> co-occurrence</a>, <a href="https://publications.waset.org/abstracts/search?q=categorisation" title=" categorisation"> categorisation</a> </p> <a href="https://publications.waset.org/abstracts/82581/interactive-topic-oriented-search-support-by-a-centroid-based-text-categorisation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82581.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">283</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">2028</span> Urdu Text Extraction Method from Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samabia%20Tehsin">Samabia Tehsin</a>, <a href="https://publications.waset.org/abstracts/search?q=Sumaira%20Kausar"> Sumaira Kausar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to the vast increase in the multimedia data in recent years, efficient and robust retrieval techniques are needed to retrieve and index images/ videos. Text embedded in the images can serve as the strong retrieval tool for images. This is the reason that text extraction is an area of research with increasing attention. English text extraction is the focus of many researchers but very less work has been done on other languages like Urdu. This paper is focusing on Urdu text extraction from video frames. This paper presents a text detection feature set, which has the ability to deal up with most of the problems connected with the text extraction process. To test the validity of the method, it is tested on Urdu news dataset, which gives promising results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=caption%20text" title="caption text">caption text</a>, <a href="https://publications.waset.org/abstracts/search?q=content-based%20image%20retrieval" title=" content-based image retrieval"> content-based image retrieval</a>, <a href="https://publications.waset.org/abstracts/search?q=document%20analysis" title=" document analysis"> document analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20extraction" title=" text extraction"> text extraction</a> </p> <a href="https://publications.waset.org/abstracts/9566/urdu-text-extraction-method-from-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9566.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">517</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">2027</span> Supercritical CO2 Extraction of Cymbopogon martini Essential Oil and Comparison of Its Composition with Traditionally Extracted Oils</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aarti%20Singh">Aarti Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Anees%20Ahmad"> Anees Ahmad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Essential oil was extracted from lemon grass (Cymbopogon martini) with supercritical carbondioxide (SC-CO2) at pressure of 140 bar and temperature of 55 °C and CO2 flow rate of 8 gmin-1, and its composition and yield were compared with other conventional extraction methods of oil, HD (Hydrodistillation), SE (Solvent Extraction), UAE (Ultrasound Assisted Extraction). SC-CO2 extraction is a green and sustainable extraction technique. Each oil was analysed by GC-MS, the major constituents were neral (44%), Z-citral (43%), geranial (27%), caryophyllene (4.6%) and linalool (1%). The essential oil of lemon grass is valued for its neral and citral concentration. The oil obtained by supercritical carbon-dioxide extraction contained maximum concentration of neral (55.05%) whereas ultrasonication extracted oil contained minimum content (5.24%) and it was absent in solvent extracted oil. The antioxidant properties have been assessed by DPPH and superoxide scavenging methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cymbopogon%20martini" title="cymbopogon martini">cymbopogon martini</a>, <a href="https://publications.waset.org/abstracts/search?q=essential%20oil" title=" essential oil"> essential oil</a>, <a href="https://publications.waset.org/abstracts/search?q=FT-IR" title=" FT-IR"> FT-IR</a>, <a href="https://publications.waset.org/abstracts/search?q=GC-MS" title=" GC-MS"> GC-MS</a>, <a href="https://publications.waset.org/abstracts/search?q=HPTLC" title=" HPTLC"> HPTLC</a>, <a href="https://publications.waset.org/abstracts/search?q=SC-CO2" title=" SC-CO2"> SC-CO2</a> </p> <a href="https://publications.waset.org/abstracts/36550/supercritical-co2-extraction-of-cymbopogon-martini-essential-oil-and-comparison-of-its-composition-with-traditionally-extracted-oils" class="btn btn-primary btn-sm">Procedia</a> 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