A Semi-automatic Approach to Reduce Uncertainty of Schema Matching

Schema matching is a prime problem in data integration domain. Some well-known automated tools have been provided to accomplish the task of schema matching, but the results generated by these tools are often uncertain. The uncertainty is universally inherent because of the inability of schema to fully capture the semantics of the represented data. We propose the method to a semi-automatic approach to reduce the uncertainty of schema matching. Our experimental results shows that the approach is able to reduce the uncertainty and improve the precision and recall.