Ontology Learning for the Semantic Web eBook

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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 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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Additional ISBNs
9780792376569

Ontology Learning for the Semantic Web is written by Alexander Maedche and published by Springer. The Digital and eTextbook ISBNs for Ontology Learning for the Semantic Web are 9781461509257, 1461509254 and the print ISBNs are 9781461353072, 1461353076. Additional ISBNs for this eTextbook include 9780792376569.