Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 665)
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About this book
Ontology Learning for the Semantic Web is designed for researchers and developers of semantic web applications. It also serves as an excellent supplemental reference to advanced level courses in ontologies and the semantic web.
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Keywords
Table of contents (10 chapters)
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Fundamentals
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Ontology Learning for the Semantic Web
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Implementation & Evaluation
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Related Work & Outlook
Authors and Affiliations
Bibliographic Information
Book Title: Ontology Learning for the Semantic Web
Authors: Alexander Maedche
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-0925-7
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2002
Hardcover ISBN: 978-0-7923-7656-9Published: 28 February 2002
Softcover ISBN: 978-1-4613-5307-2Published: 31 October 2012
eBook ISBN: 978-1-4615-0925-7Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XXIII, 244
Topics: Artificial Intelligence, The Computing Profession, Data Structures and Information Theory, Theory of Computation, Processor Architectures