Eu-An Adaptive Machine Learning Framework with User Interaction for Ontology Matching

User interaction is an important factor that affects the success of a ontology matching system but receives little consideration. We study the effect of user interaction on the performance of the matching system through an adaptive machine learning framework. Experimental results show that user interaction can help to improve the matching sys-tem's performance, with little manual annotation cost.