Learning expressive ontologies /

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Bibliographic Details
Author / Creator:Völker, Johanna, author.
Imprint:Heidelberg : AKA : IOS Press, [2009]
©2009
Description:1 online resource (x, 263 pages) : illustrations
Language:English
Series:Studies on the Semantic Web, 1868-1158 ; volume 002
Studies on the Semantic Web ; v. 002.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11217166
Hidden Bibliographic Details
Other authors / contributors:IOS Press.
ISBN:9781614993360
161499336X
9781607500339
1607500337
9783898386210
389838621X
Notes:Includes bibliographical references.
Restrictions unspecified
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2011.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212
digitized 2011 HathiTrust Digital Library committed to preserve
Print version record.
Summary:This publication advances the state-of-the-art in ontology learning by presenting a set of novel approaches to the semi-automatic acquisition, refinement and evaluation of logically complex axiomatizations. It has been motivated by the fact that the realization of the semantic web envisioned by Tim Berners-Lee is still hampered by the lack of ontological resources, while at the same time more and more applications of semantic technologies emerge from fast-growing areas such as e-business or life sciences. Such knowledge-intensive applications, requiring large scale reasoning over complex domai.
Other form:Print version: Völker, Johanna. Learning expressive ontologies. Heidelberg : AKA ; [Amsterdam] : IOS Press, ©2009 9781607500339

MARC

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505 0 |a 1. Introduction -- I. Foundations -- 2. Overview -- 3. Ontologies -- 4. Ontology Evaluation -- 5. Ontology Learning -- 6. Basic Methods -- II. Methods for Learning Expressive Ontologies -- 7. Learning Class Descriptions -- 8. Learning Property Restrictions -- 9. Learning Disjointness Axioms -- 10. Formal Consistency -- 11. Summary -- III. Applications and Evaluation -- 12. Handling Logical Inconsistency -- 13. Ontology Alignment -- 14. Towards Semi-automatic Ontology Engineering -- 15. Summary -- IV. Conclusion -- 16. Summary -- 17. Outlook -- 18. Conclusion. 
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