YAM: a schema matcher factory

In this paper, we present YAM, a schema matcher factory. YAM (Yet Another Matcher) is not (yet) another schema matching system as it enables the generation of a la carte schema matchers according to user requirements. These requirements include a preference for recall or precision, a training data set (schemas already matched) and provided expert correspondences. YAM uses a knowledge base that includes a (possibly large) set of similarity measures and classifiers. Based on the user requirements, YAM learns how to best apply these tools (similarity measures and classifiers) in concert to achieve the best matching quality. In our demonstration, we will let users apply YAM to build the best schema matcher for different user requirements.

[1]  Erhard Rahm,et al.  Schema and ontology matching with COMA++ , 2005, SIGMOD '05.

[2]  Erhard Rahm,et al.  Similarity flooding: a versatile graph matching algorithm and its application to schema matching , 2002, Proceedings 18th International Conference on Data Engineering.

[3]  Arnon Rosenthal,et al.  eTuner: tuning schema matching software using synthetic scenarios , 2007, The VLDB Journal.

[4]  Avigdor Gal,et al.  Boosting Schema Matchers , 2008, OTM Conferences.