A personalized ontology model for web information gathering

Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Li, Yuefeng and Zhong, Ning (2011) A personalized ontology model for web information gathering. IEEE Transactions on Knowledge and Data Engineering, 23 (4). pp. 496-511. ISSN 1041-4347


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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Faculty/School / Institute/Centre: Historic - Faculty of Sciences - Department of Maths and Computing (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Sciences - Department of Maths and Computing (Up to 30 Jun 2013)
Date Deposited: 07 Apr 2012 00:16
Last Modified: 12 Feb 2015 05:22
Uncontrolled Keywords: ontology; personalization; semantic relations; world knowledge; local instance repository; user profiles; web information gathering
Fields of Research (2008): 08 Information and Computing Sciences > 0806 Information Systems > 080603 Conceptual Modelling
08 Information and Computing Sciences > 0807 Library and Information Studies > 080704 Information Retrieval and Web Search
17 Psychology and Cognitive Sciences > 1702 Cognitive Sciences > 170203 Knowledge Representation and Machine Learning
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460903 Information modelling, management and ontologies
46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460508 Information retrieval and web search
46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461199 Machine learning not elsewhere classified
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: https://doi.org/10.1109/TKDE.2010.145
URI: http://eprints.usq.edu.au/id/eprint/20070

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