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Ontology Learning for the Semantic Web

Ontology Learning for the Semantic Web - The Springer International Series in Engineering and Computer Science

Softcover reprint of the original 1st Edition 2002

Paperback (31 Oct 2012)

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Publisher's Synopsis

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.

Book information

ISBN: 9781461353072
Publisher: Springer US
Imprint: Springer
Pub date:
Edition: Softcover reprint of the original 1st Edition 2002
Language: English
Number of pages: 244
Weight: 421g
Height: 235mm
Width: 155mm
Spine width: 14mm