Referenced Items are not available for this document.
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.
Published in:
Knowledge and Data Engineering, IEEE Transactions on
(Volume:23
,
Issue:
4
)
Date of Publication: April 2011
- Page(s):
- 496 - 511
- ISSN :
- 1041-4347
- INSPEC Accession Number:
- 11847723
- Digital Object Identifier :
- 10.1109/TKDE.2010.145
- Product Type:
- Journals & Magazines
- Date of Publication :
- 02 September 2010
- Date of Current Version :
- 17 February 2011
- Issue Date :
- April 2011
- Sponsored by :
- IEEE Computer Society
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