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.
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.
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|Item Type:||Conference Paper|
|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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