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EBOOK
Author Euzenat, Jérôme.
Title Ontology matching / Jerome Euzenat, Pavel Shvaiko.
Imprint Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint : Springer, 2013.
Edition Second edition.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Euzenat, Jérôme.
Subject Ontologies (Information retrieval)
Semantic integration (Computer systems)
Communication -- complications.
Computer Systems.
Information Theory.
Vocabulary, Controlled.
Alt Name Shvaiko, Pavel.
Description 1 online resource (xvii, 511 pages) : illustrations (some color)
Edition Second edition.
Bibliography Note Includes bibliographical references and index.
Contents Introduction -- Part I: The matching problem -- Applications -- The matching problem -- Methodology -- Part II: Ontology matching techniques -- Classifications of ontology matching techniques -- Basic similarity measures -- Global matching methods -- 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 -- User involvement -- Processing alignments -- Part V Conclusions -- Conclusions -- Appendixes -- Legends of figures -- Running example -- Exercises -- Solution to exercises.
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 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.
Note English.
ISBN 9783642387210 (electronic bk.)
3642387217 (electronic bk.)
3642387209
9783642387203
ISBN/ISSN 10.1007/978-3-642-38721-0
OCLC # 864999776
Additional Format Print version: Euzenat, Jerome. Ontology Matching. Dordrecht : Springer, 2013 9783642387203



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