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Semantic Similarity Measures for Knowledge Engineering: Experiments on UMLS, WordNet and Biomedical Corpus - Softcover
Synopsis
Knowledge management has been considered in the past decades applying techniques to cope with organizing data, information and knowledge. It implements methods to manage knowledge on papers as well as digital ones. Meanwhile, birth of the World Wide Web despite all of its advantages has initiated a number of issues for the researchers due to massiveness of the data on the Web. Therefore, the new knowledge engineering techniques must be automated to save time and effort of man power with considering the Web with a shared understanding of the data among all of its components. To achieve accurate and integrated definition of all available data, machines need to make a unique understanding of all discrete data sources. This book is aimed at presenting existing Measures of Semantic Similarity for resolving foregoing issue. These measures are also useful in tasks such as text categorizing, machine translation and information retrieval. Furthermore, this book introduces two new normalized functions for measuring semantic similarity between two concepts based on first and second order context and information content vectors computed from MEDLINE as the biomedical corpus, UMLS and WordNet.
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About the Author
Ahmad Pesaranghader is a researcher in the field of Computational Intelligence and Computational Linguistics. He holds a Bachelor's degree in Computer Software Engineering. He has also obtained a Master's degree in Knowledge Management with Multimedia from Multimedia University. His primary research interests are Social and Semantic Web.
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Semantic Similarity Measures for Knowledge Engineering
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659341266
ISBN 13: 9783659341267
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pesaranghader AhmadAhmad Pesaranghader is a researcher in the field of Computational Intelligence and Computational Linguistics. He holds a Bachelor s degree in Computer Software Engineering. He has also obtained a Master s degree in. Seller Inventory # 5149746
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Semantic Similarity Measures for Knowledge Engineering: Experiments on UMLS, WordNet and Biomedical Corpus
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Semantic Similarity Measures for Knowledge Engineering
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LAP LAMBERT Academic Publishing Feb 2013, 2013
ISBN 10: 3659341266
ISBN 13: 9783659341267
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Knowledge management has been considered in the past decades applying techniques to cope with organizing data, information and knowledge. It implements methods to manage knowledge on papers as well as digital ones. Meanwhile, birth of the World Wide Web despite all of its advantages has initiated a number of issues for the researchers due to massiveness of the data on the Web. Therefore, the new knowledge engineering techniques must be automated to save time and effort of man power with considering the Web with a shared understanding of the data among all of its components. To achieve accurate and integrated definition of all available data, machines need to make a unique understanding of all discrete data sources. This book is aimed at presenting existing Measures of Semantic Similarity for resolving foregoing issue. These measures are also useful in tasks such as text categorizing, machine translation and information retrieval. Furthermore, this book introduces two new normalized functions for measuring semantic similarity between two concepts based on first and second order context and information content vectors computed from MEDLINE as the biomedical corpus, UMLS and WordNet. 220 pp. Englisch. Seller Inventory # 9783659341267
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Semantic Similarity Measures for Knowledge Engineering : Experiments on UMLS, WordNet and Biomedical Corpus
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659341266
ISBN 13: 9783659341267
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Knowledge management has been considered in the past decades applying techniques to cope with organizing data, information and knowledge. It implements methods to manage knowledge on papers as well as digital ones. Meanwhile, birth of the World Wide Web despite all of its advantages has initiated a number of issues for the researchers due to massiveness of the data on the Web. Therefore, the new knowledge engineering techniques must be automated to save time and effort of man power with considering the Web with a shared understanding of the data among all of its components. To achieve accurate and integrated definition of all available data, machines need to make a unique understanding of all discrete data sources. This book is aimed at presenting existing Measures of Semantic Similarity for resolving foregoing issue. These measures are also useful in tasks such as text categorizing, machine translation and information retrieval. Furthermore, this book introduces two new normalized functions for measuring semantic similarity between two concepts based on first and second order context and information content vectors computed from MEDLINE as the biomedical corpus, UMLS and WordNet. Seller Inventory # 9783659341267
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Semantic Similarity Measures for Knowledge Engineering
Published by
LAP LAMBERT Academic Publishing Feb 2013, 2013
ISBN 10: 3659341266
ISBN 13: 9783659341267
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Knowledge management has been considered in the past decades applying techniques to cope with organizing data, information and knowledge. It implements methods to manage knowledge on papers as well as digital ones. Meanwhile, birth of the World Wide Web despite all of its advantages has initiated a number of issues for the researchers due to massiveness of the data on the Web. Therefore, the new knowledge engineering techniques must be automated to save time and effort of man power with considering the Web with a shared understanding of the data among all of its components. To achieve accurate and integrated definition of all available data, machines need to make a unique understanding of all discrete data sources. This book is aimed at presenting existing Measures of Semantic Similarity for resolving foregoing issue. These measures are also useful in tasks such as text categorizing, machine translation and information retrieval. Furthermore, this book introduces two new normalized functions for measuring semantic similarity between two concepts based on first and second order context and information content vectors computed from MEDLINE as the biomedical corpus, UMLS and WordNet.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 220 pp. Englisch. Seller Inventory # 9783659341267
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Semantic Similarity Measures for Knowledge Engineering | Experiments on UMLS, WordNet and Biomedical Corpus
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LAP LAMBERT Academic Publishing, 2013
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ISBN 13: 9783659341267
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Taschenbuch. Condition: Neu. Semantic Similarity Measures for Knowledge Engineering | Experiments on UMLS, WordNet and Biomedical Corpus | Ahmad Pesaranghader (u. a.) | Taschenbuch | 220 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659341267 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106009661