Ontology learning from text methods, evaluation and applications

This volume brings together ontology learning, knowledge acquisition and other related topics. It presents current research in ontology learning, addressing three perspectives. The first perspective looks at methodologies that have been proposed to automatically extract information from texts and to...

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Bibliographic Details
Other Authors: Buitelaar, Paul, Cimiano, Philipp, Magnini, Bernardo
Format: Book
Language:English
Published: Amsterdam Washington, DC I1 Press 2005.
Series:Frontiers in artificial intelligence and applications v. 123
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Summary:This volume brings together ontology learning, knowledge acquisition and other related topics. It presents current research in ontology learning, addressing three perspectives. The first perspective looks at methodologies that have been proposed to automatically extract information from texts and to give a structured organization to such knowledge, including approaches based on machine learning techniques. Then there are evaluation methods for ontology learning, aiming at defining procedures and metrics for a quantitative evaluation of the ontology learning task; and finally application scenarios that make ontology learning a challenging area in the context of real applications such as bio-informatics. According to the three perspectives mentioned above, the book is divided into three sections, each including a selection of papers addressing respectively the methods, the applications and the evaluation of ontology learning approaches.
Physical Description:v, 171 p. ill. 25 cm
Bibliography:Includes bibliographical references and index.
ISBN:9781586035235 (hardcover)
1586035231 (hardcover)
ISSN:0922-6389