Ontology Learning and Population from Text

Algorithms, Evaluation and Applications

By: Philipp Cimiano

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Hardcover | 12 October 2006

At a Glance

Hardcover
376 Pages

Dimensions(cm)
24.13 x 15.88 x 3.18

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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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You Can Find This Book In

Non-Fiction Philosophy Metaphysics & Ontology Computing & I.T.Computer Science Artificial Intelligence Expert Systems & Knowledge-Based Systems Computer Networking & Communications Databases Graphical & Digital Media Applications Computer Hardware Network Hardware

Mathematical Theory of Computation Information Technology General Issue

Introduction	p. 3
Ontologies	p. 9
Ontology learning from text	p. 19
Basics	p. 35
Datasets	p. 77
Concept hierarchy induction	p. 85
Learning attributes and relations	p. 185
Population	p. 233
Applications	p. 281
Contribution and outlook	p. 309
Concluding remarks	p. 311
Table of Contents provided by Blackwell. All Rights Reserved.

Ontology Learning and Population from Text

Algorithms, Evaluation and Applications

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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