Ontology Learning for the Semantic Web: 665 (The Springer International Series in Engineering and Computer Science, 665) - Tapa dura

Libro 216 de 260: The Springer International Series in Engineering and Computer Science

Maedche, Alexander

 
9780792376569: Ontology Learning for the Semantic Web: 665 (The Springer International Series in Engineering and Computer Science, 665)

Sinopsis

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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Reseña del editor

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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Otras ediciones populares con el mismo título

9781461353072: Ontology Learning for the Semantic Web: 665 (The Springer International Series in Engineering and Computer Science)

Edición Destacada

ISBN 10:  1461353076 ISBN 13:  9781461353072
Editorial: Springer, 2012
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