Ontology Learning from Text: Methods, Evaluation and Applications (Frontiers in Artificial Intelligence and Applications, Vol. 123) (Frontiers in Artificial Intelligence and Applications) Bernardo Magnini

ISBN: 9781586035235

Published: July 1st 2005

Hardcover

180 pages


Description

Ontology Learning from Text: Methods, Evaluation and Applications (Frontiers in Artificial Intelligence and Applications, Vol. 123) (Frontiers in Artificial Intelligence and Applications)  by  Bernardo Magnini

Ontology Learning from Text: Methods, Evaluation and Applications (Frontiers in Artificial Intelligence and Applications, Vol. 123) (Frontiers in Artificial Intelligence and Applications) by Bernardo Magnini
July 1st 2005 | Hardcover | PDF, EPUB, FB2, DjVu, talking book, mp3, RTF | 180 pages | ISBN: 9781586035235 | 3.33 Mb

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 toMoreThis 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.



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