Ontology Matching

  • Jérôme Euzenat
  • Pavel Shvaiko

Table of contents

  1. Front Matter
    Pages I-IX
  2. Introduction

    1. Pages 1-6
  3. The matching problem

    1. Front Matter
      Pages 7-7
    2. Pages 9-27
    3. Pages 29-57
  4. Ontology matching techniques

    1. Front Matter
      Pages 59-59
    2. Pages 73-116
    3. Pages 117-150
  5. Systems and evaluation

    1. Front Matter
      Pages 151-151
  6. Representing, explaining, and processing alignments

    1. Front Matter
      Pages 217-217
    2. Pages 245-258
    3. Pages 259-265
  7. Conclusions

    1. Front Matter
      Pages 267-267
    2. Pages 269-274
  8. Back Matter
    Pages 275-333

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, 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 (i) the state of the art and (ii) 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.


Alignment Extensible Markup Language (XML) Web Services XML artificial intelligence classification databases e-commerce framework information system intelligence ontology search engine marketing (SEM) semantic web service-oriented computing

Authors and affiliations

  • Jérôme Euzenat
    • 1
  • Pavel Shvaiko
    • 2
  1. 1.INRIA Rhône-AlpesSaint-Ismier cedexFrance
  2. 2.Department of Information and Communication TechnologyUniversity of TrentoPovo, Trento (TN)Italy

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-49611-3
  • Online ISBN 978-3-540-49612-0
  • Buy this book on publisher's site