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Towards Context-Sensitive Domain Ontology Extraction

Lau, Raymond Y.K., Hao, Jin-Xing, Tang, Maolin, & Zhou, Xujuan (2007) Towards Context-Sensitive Domain Ontology Extraction. In 40th Hawaii International Conference on System Sciences, January, 2007, Hawaii, The United States.

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Abstract

Although there has been a surge of interest in applying domain ontologies to facilitate communications among computers and human users, engineering of these ontologies turns out to be very labor intensive and time consuming. Recently, some learning methods have been proposed for automatic or semi-automatic extraction of ontologies. Nevertheless, the accuracy and computational efficiency of these methods should be improved to support large scale ontology extraction for real-world applications. This paper illustrates a novel domain ontology extraction method. In particular, contextual information of the knowledge sources is exploited for the extraction of high quality domain ontologies. By combining lexico-syntactic and statistical learning approaches, the accuracy and the computational efficiency of the extraction process can be improved. Empirical studies have confirmed that the proposed method can extract reliable domain ontology to improve the performance of information retrieval and facilitate human users to discover and refine domain ontology.

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ID Code: 12768
Item Type: Conference Paper
Keywords: information retrieval, learning (artificial intelligence), ontologies (artificial intelligence), statistical analysis
DOI: 10.1109/HICSS.2007.570
ISBN: 0769527558
ISSN: 1530-1605
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Artificial Intelligence and Image Processing not elsewhere classified (080199)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 04 Mar 2008
Last Modified: 29 Feb 2012 23:35

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