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Ontology Learning for the Semantic Web
Alexander Maedche
€ 127.80
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Description for Ontology Learning for the Semantic Web
Hardback. Explores techniques for applying knowledge discovery techniques to different web data sources, such as HTML documents, dictionaries, and more, in order to support the task of engineering and maintaining ontologies. This work is useful for researchers and developers of semantic web applications. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 244 pages, biography. BIC Classification: UM; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 242 x 166 x 20. Weight in Grams: 552.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2002
Publisher
Kluwer Academic Publishers United States
Number of pages
244
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
244
Place of Publication
Dordrecht, Netherlands
ISBN
9780792376569
SKU
V9780792376569
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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