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FORPM: Boosting Users' Effect on Ontology Matching

In this paper, we attempt to view the ontology matching task from an information gaining angle. In our opinions, the information used for matching mainly comes from the matching tools as well as the human experts. With this understanding, we believe that by making good use of user efforts, we can also accelerate the matching process. Hence we present a prototype system named FORPM. First, it ranks the entities of the ontology. Important entities are chosen as centroids to form fragments. Then, users can use those centroids' information to estimate the content of the fragments and initially match them. Finally, automatic matching is carried out among those matched fragments. Experiment results obtained so far show that with a few user efforts, our approach signifficantly improves the matching efficiency while the loss of accuracy is acceptable.