Retrieving and Ranking Methods for Finding Match Candidates

Until now, many ontology matching approaches that are applicable to topic maps have been proposed. However, they assume that two ontologies are given before matching and they do not consider searching and selecting the most appropriate ontology from ontology libraries. In our system, topic maps can be searched by a topic map, which is entered by user in order to be evolved by matching and merging with the most appropriate topic map from available topic maps collection. To provide the best search result to user, we develop a ranking method based on syntactic and semantic structure of topics.