An ontology-based framework for knowledge retrieval

Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Li, Yuefeng and Zhong, Ning and Nayak, Richi (2008) An ontology-based framework for knowledge retrieval. In: 2008 IEEE/WIC/ACM International Conference on Web Intelligence, 9-12 Dec 2008, Sydney, Australia.

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Abstract

Retrieving accurate information from the Web is a great challenge to users. The existing information retrieval systems are mostly term-based and thus need to be enhanced toward knowledge-based. User information needs need to be better captured in order to deliver personalized search results. In this paper, an ontology-based framework is proposed for capturing user information needs using a world knowledge base and the user's local instance repository. The framework aims to discover a user's background knowledge for knowledge retrieval. The evaluation result is encouraging, in which the proposed model achieved the same performance as a manual user model.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2008 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.
Faculty/School / Institute/Centre: Historic - Faculty of Sciences - Department of Maths and Computing (Up to 30 June 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Sciences - Department of Maths and Computing (Up to 30 June 2013)
Date Deposited: 01 Oct 2014 06:19
Last Modified: 26 Aug 2016 06:02
Uncontrolled Keywords: background knowledge; evaluation results; knowledge retrievals; ontology-based; personalized searches; user information needs; user models; world knowledge
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080603 Conceptual Modelling
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
08 Information and Computing Sciences > 0807 Library and Information Studies > 080704 Information Retrieval and Web Search
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1109/WIIAT.2008.226
URI: http://eprints.usq.edu.au/id/eprint/20189

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