Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Author:   Philipp Cimiano
Publisher:   Springer-Verlag New York Inc.
Edition:   1st ed. Softcover of orig. ed. 2006
ISBN:  

9781441940322


Pages:   347
Publication Date:   29 October 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Ontology Learning and Population from Text: Algorithms, Evaluation and Applications


Overview

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.  

Full Product Details

Author:   Philipp Cimiano
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   1st ed. Softcover of orig. ed. 2006
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   0.575kg
ISBN:  

9781441940322


ISBN 10:   1441940324
Pages:   347
Publication Date:   29 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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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