Rule Induction for Concept Hierarchy Alignment

Ryutaro Ichise, Hideaki Takeda, Shinichi Honiden

Abstract: To manage information like ontology, we usually use categorization with concept hierarchy. Such concept hierarchies are managed individual for each system due to the many differences in concept hierarchies. Consequently, it is difficult to reuse information in computer-based systems. Here, we propose a new concept alignment method for concept hierarchies as a solution to this problem, and construct a system to evaluate the performance of our method. The results of this experiment reveal that the proposed method can be used to induce appropriate align rules for concept hierarchies and classify information into appropriate categories within another concept hierarchy.