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Ontology Learning and Population from Text - Algorithms, Evaluation and Applications
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Ontology Learning and Population from Text - Algorithms, Evaluation and Applications
von: Philipp Cimiano
Springer-Verlag, 2006
ISBN: 9780387392523
347 Seiten, Download: 19046 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: B (paralleler Zugriff)

 

 
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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.

Ontology Learning and Population from Text: Algorithms, Evaluation and Applications is structured for research scientists and practitioners in industry. This book is also suitable for graduate-level students in computer science.

 



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