Ontology Learning for the Semantic Web (Hardcover, 2002 ed.)

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.

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	The Springer International Series in Engineering and Computer Science, 665
Release date:	February 2002
First published:	2002
Authors:	Alexander Maedche
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	244
Edition:	2002 ed.
ISBN-13:	978-0-7923-7656-9
Categories:	Books > Computing & IT > Computer programming > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	0-7923-7656-0
Barcode:	9780792376569

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