Ontology Learning and Population from Text (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
347
Utgivningsdatum
2010-10-29
Upplaga
Softcover reprint of hardcover 1st ed. 2006
Förlag
Springer-Verlag New York Inc.
Illustrationer
XXVIII, 347 p.
Dimensioner
235 x 155 x 15 mm
Vikt
540 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9781441940322

Ontology Learning and Population from Text

Algorithms, Evaluation and Applications

av Philipp Cimiano
Häftad,  Engelska, 2010-10-29
1487
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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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Innehållsförteckning

Preliminaries.- Ontologies.- Ontology Learning from Text.- Basics.- Datasets.- Methods and Applications.- Concept Hierarchy Induction.- Learning Attributes and Relations.- Population.- Applications.- Conclusion.- Contribution and Outlook.- Concluding Remarks.

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