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Ontology matching

Author: Jérôme Euzenat; Pavel Shvaiko
Publisher: Berlin : Springer, 2007
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Document Type: Book
All Authors / Contributors: Jérôme Euzenat; Pavel Shvaiko
ISBN: 9783540496113 3540496114
OCLC Number: 474177790
Description: ix, 333 s.
Contents: Part I.- The Matching Problem.- Applications.- The Matching Problem.- Part II.- Ontology Matching Techniques.- Classifications of Ontology Matching Techniques.- Basic Techniques.- Matching Strategies.- Part III.- Systems and Evaluation.- Overview of Matching Systems.- Evaluation of Matching Systems.- Part IV.- Representing, Explaining, and Processing Alignments.- Frameworks and Formats: Representing Alignments.- Explaining Alignments.- Processing Alignments.- Part V.- Conclusions.- Appendix.- Bibliography.
Responsibility: Jérôme Euzenat, Pavel Shvaiko
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Abstract:

Ontologies are viewed as the silver bullet for many applications, but in open or evolving systems, different parties can adopt different ontologies. This increases heterogeneity problems rather than  Read more...

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   schema:datePublished "2007" ;
   schema:description "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, artificial intelligence. With "Ontology Matching", researchers and practitioners will find a reference book which presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting the state of the art and the latest research results in ontology matching by providing a detailed account of matching techniques and matching systems in a systematic way from theoretical, practical and application perspectives" ;
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