Path Similarity Based Directory Ontology Matching
In a directory ontology, only concepts and hypernym/hyponym relationships between them are defined. Directory ontologies are widely used in many real-world applications such as product catalogues and Web directories. The widely used heterogeneous directories also bring a big challenge for integration of them. Previously, little attentions have been paid attention to the problem in the research community. In this paper, we propose a path similarity based approach for directory ontology matching. We define the concept's local label and the concept's path label. Next, we propose a path similarity method, which combines the local label and path label information. Then, a top-down similarity flooding is utilized to improve the matching result. Our experimental results on the music genre ontologies show that the proposed method can achieve a precision of 78% and a recall of 66%, significantly outperforming the baseline method.