Personalization Using Ontologies and Rules

Authors:
Thanh Tran;Haofen Wang;Steffen Lamparter;Philipp Cimiano
Affiliations:
Institute AIFB, Universität Karlsruhe, Germany;Department of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China 200240;Institute AIFB, Universität Karlsruhe, Germany;Institute AIFB, Universität Karlsruhe, Germany
Venue:
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2008

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Abstract

Adaptive hypermedia systems can alleviate information overload on the Web by personalising the delivery of resources to the user. These systems are however afflicted with difficulties in the acquisition of user data as well as the general lack of user control on and transparency of the systems' adaptive behavior. In this paper, we argue that the use of rules on top of ontologies can enable adaptive functionality that is both transparent and controllable for users. To this end, we sketch ODAS, a domain ontology for adaptive hypermedia systems, and a model for the specification of adaptation rules.