Towards context-sensitive domain ontology extraction
Paper
Paper/Presentation Title | Towards context-sensitive domain ontology extraction |
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Presentation Type | Paper |
Authors | Lau, Raymond Y. K. (Author), Hao, Jin Xing (Author), Tang, Maolin (Author) and Zhou, Xujuan (Author) |
Journal or Proceedings Title | Proceedings of the 40th Annual Hawaii International Conference on System Sciences (HICSS40) |
Number of Pages | 10 |
Year | 2007 |
Place of Publication | Los Alamitos, CA. United States |
ISBN | 0769527558 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/HICSS.2007.570 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4076494 |
Conference/Event | 40th Annual Hawaii International Conference on System Sciences (HICSS40) |
Event Details | 40th Annual Hawaii International Conference on System Sciences (HICSS40) Event Date 03 to end of 06 Jan 2007 Event Location Hawaii, United States |
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 |
Keywords | domain ontology, ontology extraction, statistical learning, information retrieval |
ANZSRC Field of Research 2020 | 460999. Information systems not elsewhere classified |
Public Notes | © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | City University of Hong Kong, China |
Queensland University of Technology | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3y94/towards-context-sensitive-domain-ontology-extraction
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