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

Rok: 2005
ISBN: 9781586035235
OKCZID: 110053250

Citace (dle ČSN ISO 690):
BUITELAAR, Paul, ed., CIMIANO, Philipp, ed. a MAGNINI, Bernardo, ed. Ontology learning from text: methods, evaluation and applications. Washington, DC: IOS Press, 2005. v, 171 p. Frontiers in artificial intelligence and applications, v. 123.

Anotace

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.IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields. Some of the areas we publish in: -Biomedicine -Oncology -Artificial intelligence -Databases and information systems -Maritime engineering -Nanotechnology -Geoengineering -All aspects of physics -E-governance -E-commerce -The knowledge economy -Urban studies -Arms control -Understanding and responding to terrorism -Medical informatics -Computer Sciences

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