A Personalized Ontology Model for Web Information Gathering

Tao, Daniel, Li, Yuefeng, & Zhong, Ning (2011) A Personalized Ontology Model for Web Information Gathering. IEEE Transactions on Knowledge & Data Engineering, 23(4), pp. 496-511.

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Abstract

As a model for knowledge description and formalization, ontologies are widely used to represent user profiles in personalized web information gathering. However, when representing user profiles, many models have utilized only knowledge from either a global knowledge base or a user local information. In this paper, a personalized ontology model is proposed for knowledge representation and reasoning over user profiles. This model learns ontological user profiles from both a world knowledge base and user local instance repositories. The ontology model is evaluated by comparing it against benchmark models in web information gathering. The results show that this ontology model is successful.

Impact and interest:

41 citations in Scopus
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9 citations in Web of Science®

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ID Code: 42924
Item Type: Journal Article
Keywords: Ontology, personalization, semantic relations, world knowledge, local instance repository, user profiles, web information gathering
DOI: 10.1109/TKDE.2010.145
ISSN: 1041-4347
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DATA FORMAT (080400)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Information Systems
Funding:
Deposited On: 13 Jul 2011 13:08
Last Modified: 16 Feb 2015 19:04

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