A Framework to Combine Multiple Matchers for Pair-Wise Schema Matching

There are many matching tools (or matchers) have been develop to generate correspondences of elements between two schema. However, the performances of those matchers are highly dependant on the domains they are applied. One tool may achieve best performance in a specific domain but worst when applied in other ones. In this work we propose a combination technique, which enhances mapping quality by merging several mappings. We rely on the well-known Stable Marriage (SM) approach to perform the suitable selection between multiple matching results. In order to reduce complexity and increase the accuracy of SM algorithm, we suggest to combine it with Hyperlink-Induced Topic Search (HITS) algorithm, which can reasonably filter out good candidates for matching selection. We show empirically that the combined solution yields better result than individual matchers in various domains in terms of precision and recall.