Sociotechnical Architecture for Online Privacy
IEEE Security and Privacy
PeCAN: an architecture for users' privacy-aware electronic commerce contexts on the semantic web
Information Systems - Special issue: The semantic web and web services
Towards a belief-revision-based adaptive and context-sensitive information retrieval system
ACM Transactions on Information Systems (TOIS)
A constructive particle swarm algorithm for fuzzy clustering
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Hi-index | 0.00 |
Autonomous information agents alleviate the information overload problem on the Internet. The AGM belief revision framework provides a rigorous foundation to develop adaptive information agents. The expressive power of the belief revision logic allow a user's information preferences and contextual knowledge of a retrieval situation to be captured and reasoned about within a single logical framework. Contextual knowledge for information retrieval can be acquired via context sensitive text mining. THis paper illustrates a novel approach of integrating the proposed text mining method into the belief revision based adaptive information agents to improve the agents' learning autonomy and prediction power.