
Ontology Learning and Population from Text
Algorithms, Evaluation and Applications
Philipp Cimiano(Author)
Springer (Publisher)
Published on 12. October 2006
Book
Hardback
XXVIII, 347 pages
978-0-387-30632-2 (ISBN)
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.
More details
Edition
2006 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Paper over boards
Illustrations
XXVIII, 347 p.
Dimensions
Height: 243 mm
Width: 167 mm
Thickness: 30 mm
Weight
766 gr
ISBN-13
978-0-387-30632-2 (9780387306322)
DOI
10.1007/978-0-387-39252-3
Schweitzer Classification
Other editions
Additional editions

Book
10/2010
Springer
€139.09
Shipment within 15-20 days

E-Book
12/2006
1st Edition
Springer
€96.29
Available for download
Content
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.