A knowledge retrieval model using ontology mining and user profiling

Tao, Xiaohui and Li, Yuefeng and Nayak, Richi (2008) A knowledge retrieval model using ontology mining and user profiling. Integrated Computer Aided Engineering, 15 (4). pp. 313-329. ISSN 1069-2509

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Abstract

Over the last decade, the rapid growth and adoption of the World Wide Web has further exacerbated the user need for efficient mechanisms for information and knowledge location, selection and retrieval. Much research in the area of semantic web is already underway, adopting information retrieval tools and techniques. However, much work is required to address knowledge retrieval; for instance, users' information needs could be better interpreted, leading to accurate information retrieval. In this paper, a novel computational model is proposed for solving retrieval problems by constructing and mining a personalized ontology based on world knowledge and a user's Local Instance Repository. The proposed model is evaluated by applying to a Web information gathering system, and the result is promising.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2008 - IOS Press. Permanent restricted access to published version due to publisher copyright policy.
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 13 Apr 2013 04:32
Last Modified: 20 Feb 2015 05:22
Uncontrolled Keywords: computational modelling; information needs; knowledge retrieval; rapid growth; retrieval tools; user need; user profiling; web information
Fields of Research : 08 Information and Computing Sciences > 0807 Library and Information Studies > 080707 Organisation of Information and Knowledge Resources
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
URI: http://eprints.usq.edu.au/id/eprint/20108

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