Ontology Matching Framework Based On Semantic Module

With the fast development of the internet, the world wide web has became a great media which people can store and exchange information However due to the unstructured web pages and varieties of the web content, to find what the users want is becoming harder and harder.The Semantic Web is the next generation of WWW, in Semantic Web the resources is no longer meaningless chars set but with various annotations. The Ontology is the core part to fulfill this goal. By defining a set of concepts and the relations among them, applications based on the same ontology can understand each other thus cooperates better. However, nowadays most ontologies are built by different people or groups. The problem of enabling cooperation between heterogeneses ontologies thus become important.Ontology matching aims at dealing with inter-operation problems between heterogeneous ontologies. Recently, many researches has been focused on improving the matching tool's quality. However, in one hand, the goals of matching depend heavily on the intension of the users; in the other hand, for a matching task between large ontologies, it is very difficult to efficiently present the matching results to a human engineer to validate. Hence, in this paper, we proposed a semi-auto framework for semantic-modular based ontology matching. By amplifying user's effects wisely, we tried to achieve high efficiency while keeping the match qualities. The main work including the following issues:1. A framework FORPM (Framework for Ontology Ranking, Partition and Matching) for large scaled ontologies matching. By introducing a new matching process, we tried to achieve high efficiency while keeping the match qualities.2. An ontology rank model which is used to sort out the most important entity pairs beforehand.3. An ontology partition algorithm from a data clustering's view.