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Ontology Matching

Autoren: Euzenat, Jérôme, Shvaiko, Pavel

Vorschau
  • The most comprehensive state-of-the-art overview of techniques for database schema matching and semantic web applications
  • Summarizes research from the database, information systems, and artificial intelligence communities
  • Combines theoretical foundations with practical application perspectives
  • Second Edition includes a new chapter on methodologies for performing ontology matching, and numerous additions for emerging topics including data interlinking, context-based matching, and user involvement
Weitere Vorteile

Dieses Buch kaufen

eBook 83,29 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-642-38721-0
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF, EPUB
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 149,79 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-642-38720-3
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Softcover 106,99 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-662-50042-2
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Über dieses Buch

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 (i) the state of the art and (ii) the latest research results in ontology matching by providing a systematic and detailed account of matching techniques and matching systems from theoretical, practical and application perspectives.

Über den Autor

Jérôme Euzenat is senior research scientist at INRIA where he leads the Exmo team dedicated to computer-mediated exchanges of structured knowledge. He is supervising the "Heterogeneity" work package of the Knowledge web network of excellence which aims at structuring the European research community in ontology alignment and merging.

Pavel Shvaiko is a postdoc fellow at the Department of Information and Communication Technology (DIT) of the University of Trento (UniTn), Trento, Italy. In 2006, he finished his PhD on "Iterative Schema-based Semantic Matching". Currently, he works in a European research project on matching multiple schemas, classifications, ontologies as a solution to the semantic heterogeneity problem.

Inhaltsverzeichnis (13 Kapitel)

Inhaltsverzeichnis (13 Kapitel)

Dieses Buch kaufen

eBook 83,29 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-642-38721-0
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF, EPUB
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 149,79 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-642-38720-3
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Softcover 106,99 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-662-50042-2
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
Ontology Matching
Autoren
Copyright
2013
Verlag
Springer-Verlag Berlin Heidelberg
Copyright Inhaber
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-38721-0
DOI
10.1007/978-3-642-38721-0
Hardcover ISBN
978-3-642-38720-3
Softcover ISBN
978-3-662-50042-2
Auflage
2
Seitenzahl
XVII, 511
Anzahl der Bilder
102 schwarz-weiß Abbildungen, 1 Abbildungen in Farbe
Themen