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.

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Product Description

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.

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Product Details

General

Imprint

Springer

Country of origin

Netherlands

Series

The Springer International Series in Engineering and Computer Science, 665

Release date

February 2002

Availability

Expected to ship within 10 - 15 working days

First published

2002

Authors

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

Barcode

9780792376569

Categories

LSN

0-7923-7656-0



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