CMC: Combining Multiple Schema-Matching Strategies Based on Credibility Prediction
Schema matching is a key operation in data engineering. Combining multiple matching strategies is a very promising technique for schema matching. To overcome the limitations of existing combination systems and to achieve better performances, in this paper the CMC system is proposed, which combines multiple matchers based on credibility prediction. We first predict the accuracy of each matcher on the current matching task, and accordingly calculate each matcher’s credibility. These credibilities are then used as weights in aggregating the matching results of different matchers into a combined one. Our experiments on real world schemas validate the merits of our system.
Unable to display preview. Download preview PDF.
- 3.Do, H.H., Rahm, E.: COMA — A System for Flexible Combination of Schema Matching Approaches. In: VLDB 2002, pp. 610–621. Morgan Kaufmann Publishers, San Francisco (2002)Google Scholar
- 5.Perrone, M.P., Cooper, L.N.: When Networks Disagree: Ensemble Method for Neural Networks. In: Neural Networks for Speech and Image processing (1993)Google Scholar