A Personalized Ontology Model for Web Information Gathering

Author

Tao, Xiaohui ; Li, Yuefeng ; Zhong, Ning

Author_Institution

Fac. of Sci. & Technol., Queensland Univ. of Technol. (QUT), Brisbane, QLD, Australia

Volume

23

Issue

4

fYear

2011

fDate

4/1/2011 12:00:00 AM

Firstpage

496

Lastpage

511

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.

Keywords

Internet; inference mechanisms; information retrieval; ontologies (artificial intelligence); user interfaces; Web information gathering; knowledge description model; knowledge formalization model; knowledge representation; personalized ontology model; user profile reasoning; user profile representation; Ontology; local instance repository; personalization; semantic relations; user profiles; web information gathering.; world knowledge;

fLanguage

English

Journal_Title

Knowledge and Data Engineering, IEEE Transactions on

Publisher

ieee

ISSN

1041-4347

Type

jour

DOI

10.1109/TKDE.2010.145

Filename

5560649