Overview
- 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
- Includes supplementary material: sn.pub/extras
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Table of contents (13 chapters)
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Front Matter
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The Matching Problem
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Front Matter
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Ontology Matching Techniques
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Front Matter
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Systems and Evaluation
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Front Matter
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Representing, Explaining, and Processing Alignments
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Front Matter
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Conclusions
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Front Matter
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Back Matter
Keywords
About this book
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. Inparticular, 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.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Ontology Matching
Authors: Jérôme Euzenat, Pavel Shvaiko
DOI: https://doi.org/10.1007/978-3-642-38721-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-38720-3Published: 21 November 2013
Softcover ISBN: 978-3-662-50042-2Published: 23 August 2016
eBook ISBN: 978-3-642-38721-0Published: 08 November 2013
Edition Number: 2
Number of Pages: XVII, 511
Number of Illustrations: 102 b/w illustrations, 1 illustrations in colour
Topics: Information Storage and Retrieval, Information Systems Applications (incl. Internet), Artificial Intelligence, IT in Business, e-Commerce/e-business, Mathematical Logic and Formal Languages