Overview
- Provides a one-stop reference on all aspects of managing ontological data
- Disseminates experiences, lessons learned, and best-practices on ontology management from a number of application domains
- Includes supplementary material: sn.pub/extras
Part of the book series: Semantic Web and Beyond (ADSW)
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Table of contents (10 chapters)
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Front Matter
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Evolution, Alignment, and the Business Perspective
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Back Matter
Keywords
About this book
Managing ontologies and annotated data throughout their life-cycles is at the core of semantic systems of all kinds. Ontology Management, an edited volume by senior researchers in the field, provides an up-to-date, concise and easy-to-read reference on this topic.
This volume describes relevant tasks, practical and theoretical challenges, limitations and methodologies, plus available software tools. The editors discuss integrating the conceptual and technical dimensions with a business view on using ontologies, by stressing the cost dimension of ontology engineering and by providing guidance on how up-to-date tooling helps to build, maintain, and use ontologies. Also included is a one-stop reference on all aspects of managing ontological data and best practices on ontology management for a number of application domains.
Ontology Management is designed as a reference or secondary text for researchers and advanced-level students studying semantic systems, Semantic Web Services (SWS) and Web Services, information systems, data and knowledge engineering, and the Semantic Web in general. Practitioners in industry will find this work invaluable as well.
Editors and Affiliations
Bibliographic Information
Book Title: Ontology Management
Book Subtitle: Semantic Web, Semantic Web Services, and Business Applications
Editors: Martin Hepp, Pieter Leenheer, Aldo Moor, York Sure
Series Title: Semantic Web and Beyond
DOI: https://doi.org/10.1007/978-0-387-69900-4
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2008
Hardcover ISBN: 978-0-387-69899-1Published: 30 November 2007
Softcover ISBN: 978-1-4419-4349-1Published: 23 November 2010
eBook ISBN: 978-0-387-69900-4Published: 23 October 2007
Series ISSN: 1559-7474
Edition Number: 1
Number of Pages: XIX, 295
Number of Illustrations: 20 b/w illustrations
Topics: Information Systems Applications (incl. Internet), Computer Science, general, Artificial Intelligence, Information Systems and Communication Service, e-Commerce/e-business, Database Management