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Using Semantic Wikis for User Information Management in E-Business

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2 Author(s)
Lu Quan ; Center for Studies of Inf. Resources, Wuhan Univ., Wuhan ; Chen Jing

The application of semantic Wikis for user information management in e-business for purpose of Web personalization is investigated in this paper. It presents an enhanced semantic wiki, named UIMwiki, aiming to combine user annotation and artificial psychology in a semantic wiki system. Wiki users in UIMwiki are classified into three groups: end users, expert users and ontologists. There are two ways to maintain user information in UIMwiki for an end user: executing a cognitive query or adding semantic annotations. A user model based on artificial psychology can be built from the cognitive query files by a user model generator. The user model generator gives user model suggestions based on psychology knowledge. The Wiki generator and semantic annotation are also described. UIMwiki considers user's preference information or implicit knowledge in the annotation process, and it makes the personalization more effectively too.

Published in:

Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on

Date of Conference:

21-22 Dec. 2008

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