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Ontology Learning for the Semantic Web /

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Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ont...

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Bibliographic Details
Main Author: Maedche, Alexander
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Boston, MA : Springer US, 2002.
Series:Kluwer international series in engineering and computer science ; 665.
Subjects:
Computer science.
Data structures (Computer science)
Information theory.
Artificial intelligence.
Computer industry.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the Semantic Web includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data. This data is necessary in order to support a semi-automatic ontology engineering process. 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.
Item Description:Electronic resource.
Physical Description:1 online resource (xxiii, 244 pages)
ISBN:9781461509257 (electronic bk.)
1461509254 (electronic bk.)
ISSN:0893-3405 ;