Towards context-sensitive domain ontology extraction

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

13 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the Annual Hawaii International Conference on System Sciences
Publication statusPublished - 2007

Publication series

Name
ISSN (Print)1530-1605

Conference

Title40th Annual Hawaii International Conference on System Sciences 2007, HICSS'07
PlaceUnited States
CityBig Island, HI
Period3 - 6 January 2007

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. © 2007 IEEE.

Research Area(s)

  • Domain ontology, Information retrieval, Ontology extraction, Statistical learning

Citation Format(s)

Towards context-sensitive domain ontology extraction. / Lau, Raymond Y. K.; Hao, Jin Xing; Tang, Maolin et al.
Proceedings of the Annual Hawaii International Conference on System Sciences. 2007. 4076494.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review