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Taxonomy Matching Using Background by Angermann (16 results)
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US$ 43.64
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Taxonomy Matching Using Background Knowledge: Linked Data, Semantic Web and Heterogeneous Repositories
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Taxonomy Matching Using Background Knowledge
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Taxonomy Matching Using Background Knowledge: Linked Data, Semantic Web and Heterogeneous Repositories
Published by Springer-Verlag New York Inc, 2019
ISBN 10: 331989157X ISBN 13: 9783319891576
Language: English
US$ 64.63
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Add to basketPaperback. Condition: Brand New. reprint edition. 120 pages. 9.25x6.10x0.28 inches. In Stock.
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US$ 66.92
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Taxonomy Matching Using Background Knowledge : Linked Data, Semantic Web and Heterogeneous Repositories
Published by Springer, Berlin, Springer International Publishing, Springer, 2018
ISBN 10: 3319722085 ISBN 13: 9783319722085
Language: English
US$ 47.99
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches. Different methods are investigated in accordance with the criteria of the Ontology Alignment Evaluation Initiative (OAEI). The text also highlights promising developments and innovative guidelines, to further motivate researchers and practitioners in the field.Topics and features: discusses the fundamentals and the latest developments in taxonomy matching, including the related fields of ontology matching and schema matching; reviews next-generation matching strategies, matching algorithms, matching systems, and OAEI campaigns, as well as alternative evaluations; examines how the latest techniques make use of different sources of background knowledge to enable precise matching between repositories; describes the theoretical background, state-of-the-art research, and practical real-world applications; covers the fields of dynamic taxonomies, personalized directories, catalog segmentation, and recommender systems.This stimulating book is an essential reference for practitioners engaged in data science and business intelligence, and for researchers specializing in taxonomy matching and semantic similarity assessment. The work is also suitable as a supplementary text for advanced undergraduate and postgraduate courses on information and metadata management.
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US$ 93.26
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Taxonomy Matching Using Background Knowledge
Published by Berlin Springer International Publishing Springer Jan 2018, 2018
ISBN 10: 3319722085 ISBN 13: 9783319722085
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 43.72
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches. Different methods are investigated in accordance with the criteria of the Ontology Alignment Evaluation Initiative (OAEI). The text also highlights promising developments and innovative guidelines, to further motivate researchers and practitioners in the field.Topics and features: discusses the fundamentals and the latest developments in taxonomy matching, including the related fields of ontology matching and schema matching; reviews next-generation matching strategies, matching algorithms, matching systems, and OAEI campaigns, as well as alternative evaluations; examines how the latest techniques make use of different sources of background knowledge to enable precise matching between repositories; describes the theoretical background, state-of-the-art research, and practical real-world applications; covers the fields of dynamic taxonomies, personalized directories, catalog segmentation, and recommender systems.This stimulating book is an essential reference for practitioners engaged in data science and business intelligence, and for researchers specializing in taxonomy matching and semantic similarity assessment. The work is also suitable as a supplementary text for advanced undergraduate and postgraduate courses on information and metadata management. 103 pp. Englisch.
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Taxonomy Matching Using Background Knowledge
Published by Springer International Publishing, 2019
ISBN 10: 331989157X ISBN 13: 9783319891576
Language: English
US$ 41.40
Convert currencyUS$ 55.54 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides in-depth coverage of the state of the art in taxonomy matching, and the related fields of ontology matching and schema matching Reviews matching strategies, matching algorithms, matching systems and OAEI campaigns, in addition to alterna.
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Taxonomy Matching Using Background Knowledge
Published by Springer International Publishing, 2018
ISBN 10: 3319722085 ISBN 13: 9783319722085
Language: English
US$ 41.40
Convert currencyUS$ 55.54 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides in-depth coverage of the state of the art in taxonomy matching, and the related fields of ontology matching and schema matching Reviews matching strategies, matching algorithms, matching systems and OAEI campaigns, in addition to alterna.
