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ONTOLOGY MATCHING Bkumazawa@riss.osaka-u.ac.jp <kumazawa@riss.osaka-u.ac.jp>OOK

From: Pavel Shvaiko <pavel@dit.unitn.it>
Date: Wed, 6 May 2009 08:39:08 +0200
Message-ID: <E27C3C7D69464BD0BED2708BA1E3C9EA@IT0AC1A0736>
To: "Pavel Shvaiko" <pavel@disi.unitn.it>
Apologies for cross-postings

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                    ONTOLOGY MATCHING BOOK
                      published by Springer is available
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Free preview of the first two chapters is on Google books:
http://books.google.it/books?id=qYVpA2t2EtQC&printsec=frontcover&dq=ontology+matching

Free download of its chapter 3 as sample pages is on Springer site:
http://www.springer.com/978-3-540-49611-3

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ONTOLOGY MATCHING

Authors: Jerome Euzenat and Pavel Shvaiko

URL: http://book.ontologymatching.org

Springer-Verlag, Heidelberg (DE), 2007
343 p., 67 illus., Hardcover
ISBN: 978-3-540-49611-3

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ABSTRACT

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.

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CONTENTS

  Introduction
Part I - The Matching Problem
  Chapter 1 - Applications
  Chapter 2 - The matching problem
Part II - Ontology Matching Techniques
  Chapter 3 - Classifications of ontology matching techniques
  Chapter 4 - Basic techniques
  Chapter 5 - Matching strategies
Part III - Systems and Evaluation
  Chapter 6 - Overview of matching systems
  Chapter 7 - Evaluation of matching systems
Part IV - Representing, Explaining, and Processing Alignments
  Chapter 8 - Frameworks and formats: representing alignments
  Chapter 9 - Explaining alignments
  Chapter 10 - Processing alignments
Part V - Conclusions
  Appendices
  Bibliography
  Index
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Cheers,
Pavel
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Pavel Shvaiko, Ph.D.
Innovation and Research Project Manager
TasLab - Informatica Trentina S.p.A.
Via G. Gilli, 2
38100 Trento - Italy
http://www.infotn.it/
http://www.ontologymatching.org/ 
Received on Wednesday, 6 May 2009 06:44:15 GMT

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