Ontology Learning and Population from Text: Algorithms, Evaluation and Applications 2006 Edition Contributor(s): Cimiano, Philipp (Author) |
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ISBN: 0387306323 ISBN-13: 9780387306322 Publisher: Springer
Binding Type: Hardcover - See All Available Formats & Editions Published: October 2006 Annotation: 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. |
Additional Information |
BISAC Categories: - Computers | Information Technology - Computers | Networking - Hardware - Computers | Databases - General |
Dewey: 006.331 |
Physical Information: 1.14" H x 6.48" W x 9.26" L (1.69 lbs) 347 pages |
Features: Bibliography, Illustrated, Index, Table of Contents |
Descriptions, Reviews, Etc. |
Publisher Description: 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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