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Ontology Matching - Jérôme Euzenat, Pavel Shvaiko
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11, ISBN: 9783642387210

ID: 203179783642387210

Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko's book is Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko's book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g, databases, information systems, and artificial intelligence. The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content. In particular, the book includes a new chapter dedicated to the methodology for performing ontology matching. It also covers emerging topics, such as data interlinking, ontology partitioning and pruning, context-based matching, matcher tuning, alignment debugging, and user involvement in matching, to mention a few. More than 100 state-of-the-art matching systems and frameworks were reviewed. With Ontology Matching, researchers and practitioners will find a reference book that presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can be equally applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting Information Storage & Retrievel, Database Management, Ontology Matching~~ Jérôme Euzenat, Pavel Shvaiko~~Information Storage & Retrievel~~Database Management~~9783642387210, en, Ontology Matching, Jérôme Euzenat, Pavel Shvaiko, 9783642387210, Springer, 11/08/2013, , , , Springer, 11/08/2013

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Ontology Matching - Jérôme Euzenat; Pavel Shvaiko
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ISBN: 9783642387210

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Computer Science; Information Storage and Retrieval; Information Systems Applications (incl. Internet); Artificial Intelligence (incl. Robotics); IT in Business; e-Commerce/e-business; Mathematical Logic and Formal Languages Catalogue Integration, Data Integration, Information Integration, Ontologies, Ontology Alignment, Ontology Engineering, Schema Matching, Semantic Web Books eBook, Springer Science+Business Media

Neues Buch Springer.com
This book explores ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Also covers emerging topics such as data interlinking, ontology partitioning and pruning, and user involvement in matching. Versandkosten: EUR 0.00
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Ontology Matching - Jérôme Euzenat; Pavel Shvaiko
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ISBN: 9783642387210

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Computer Science; Information Storage and Retrieval; Information Systems Applications (incl. Internet); Artificial Intelligence (incl. Robotics); IT in Business; e-Commerce/e-business; Mathematical Logic and Formal Languages Catalogue Integration, Data Integration, Information Integration, Ontologies, Ontology Alignment, Ontology Engineering, Schema Matching, Semantic Web Books eBook, Springer Nature

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This book explores ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Also covers emerging topics such as data interlinking, ontology partitioning and pruning, and user involvement in matching. Versandkosten:spese di spedizione aggiuntive., zzgl. Versandkosten
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2013, ISBN: 9783642387210

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Ontology Matching:2nd ed. 2013. Jérôme Euzenat, Pavel Shvaiko Ontology Matching:2nd ed. 2013. Jérôme Euzenat, Pavel Shvaiko eBooks > Sachthemen & Ratgeber > Computer & Internet, Springer Berlin Heidelberg

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2013, ISBN: 9783642387210

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Detailangaben zum Buch - Ontology Matching


EAN (ISBN-13): 9783642387210
ISBN (ISBN-10): 3642387217
Erscheinungsjahr: 2013
Herausgeber: Springer Berlin
511 Seiten
Sprache: eng/Englisch

Buch in der Datenbank seit 19.08.2012 22:44:29
Buch zuletzt gefunden am 12.01.2018 16:12:00
ISBN/EAN: 9783642387210

ISBN - alternative Schreibweisen:
3-642-38721-7, 978-3-642-38721-0


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