Ontology Mining for Personalized Web Information Gathering

Tao, Xiaohui, Li, Yuefeng, Zhong, Ning, & Nayak, Richi (2007) Ontology Mining for Personalized Web Information Gathering. In 2007 IEEE/WIC/ACM International Conference on Web Intelligence, 02-05 November, Silicon Valley, USA.

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Abstract

It is well accepted that ontology is useful for personalized Web information gathering. However, it is challenging to use semantic relations of "kind-of", "part-of", and "related-to" and synthesize commonsense and expert knowledge in a single computational model. In this paper, a personalized ontology model is proposed attempting to answer this challenge. A two-dimensional (Exhaustivity and Specificity) method is also presented to quantitatively analyze these semantic relations in a single framework. The proposals are successfully evaluated by applying the model to a Web information gathering system. The model is a significant contribution to personalized ontology engineering and concept-based Web information gathering in Web Intelligence.

Impact and interest:

14 citations in Scopus
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5 citations in Web of Science®

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ID Code: 6032
Item Type: Conference Paper
Refereed: Yes
Additional Information: For more information, please refer to the conference website (see hypertext link) or contact the authors.
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 (please consult authors)
Deposited On: 26 Nov 2007 00:00
Last Modified: 29 Feb 2012 13:34

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