Tao, Xiaohui 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
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Identification Number or DOI: doi: 10.1109/TKDE.2010.145
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.
|Item Type:||Article (Commonwealth Reporting Category C)|
|Additional Information:||Article 5560649. Permanent restricted access to published version due to publisher copyright policy.|
|Uncontrolled Keywords:||ontology; personalization; semantic relations; world knowledge; local instance repository; user profiles; web information gathering|
|Fields of Research (FOR2008):||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
|Socio-Economic Objective (SEO2008):||E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences|
|Deposited On:||07 Apr 2012 10:16|
|Last Modified:||29 Aug 2012 12:07|
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