Ontology Matching

1. Auflage. Softcover version of original hardcover Auflage 2007
ISBN: 978-3-642-08055-5
Verlag: Springer

Buch, Englisch, 333 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 528 g

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 reducing heterogeneity. This book proposes ontology matching as a solution to the problem of semantic heterogeneity, offering researchers and practitioners a uniform framework of reference to currently available work. The techniques presented apply to database schema matching, catalog integration, XML schema matching and more.

Zielgruppe

Research

Autoren/Hrsg.

Euzenat, Jérôme

Shvaiko, Pavel

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

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.

Über Autor(innen)

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.