Conceptual Fuzzy Matching and the Realization of Search Agents
Tomohiro Takagi*, Shinichi Kasuya*, Masao Mukaidono* and Toru Yamaguchi**
*Department of Computer Science, Meiji University 1-1-1 Higashi-Mica, Tama-ku, Kawasaki-shi, Kanagawa-ken 214-8571, Japan
**Department of Information Science, Faculty of Engineering, Utsunomiya University 2753 Ishii-cho, Utsunomiya-shi 321-8585, Japan
We propose a method for representing common concepts by fusing conceptual fuzzy sets (CFSs) with ontology. We also describe a method of conceptual matching for retrieving information that meets a user’s intentions. The matching is done based on the region of the ontological structure covered by the CFS representing the user’s intention as well as on the original keywords. We apply the proposed conceptual-matching method to two types of agents. One selects music matching the tone of a text composition. Selection of music for two email notes shows that the proposed system can select music that matches human feelings. The other agent recommends TV programs to watch. The recommended programs have EPGs (Electronic Program Guide) similar to those of previously watched programs or that contain words matching the learning data. Practical examples demonstrate that the proposed system can recommend TV programs matching the user’s tastes.