[PDF.64hz] Ontology Learning and Population from Text: Algorithms, Evaluation and Applications

Ontology Learning and Population from Text: Algorithms, Evaluation and Applications

[PDF.nj77] Ontology Learning and Population from Text: Algorithms, Evaluation and Applications

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 | #3959876 in Books |  2006-10-12 | Original language:English | PDF # 1 |  9.21 x.88 x6.14l,1.69 | File type: PDF | 347 pages

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||From the Back Cover||Standard formalisms for knowledge representation such as RDFS or OWL have been recently developed by the semantic web community and are now in place. However, the crucial question still remains: how will we acquire all the knowledge availabl

In the last decade, ontologies have received much attention within computer science and related disciplines, most often as the semantic web. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, as well as knowledge management, information retrieval, text clustering and classification, as well as natural language processing.

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