Universidad Politécnica de Madrid (UPM) and University of Amsterdam (UVA) started an experiment to test the suitability of some well-established Ontology Matching tools when used to align qualitative reasoning models. The studied systems were CIDER, from University of Zaragoza (Spain), and FALCON, from Southeast University (China). The goal of these tools is to discover semantic correspondences between the terms of two different ontologies (or QR models, in our experiment), in order to give an estimation of how similar the two ontologies are.

The experimental data consisted of some manually aligned qualitative reasoning models created by experts at University of Brásilia (FUB). We compared these alignments with the ones automatically derived by the matching tools. The initial results (0.93 F-Measure with CIDER and 0.79 F-Measure with Falcon), although not yet conclusive (this is just the starting of a series of tests), are very promising and point out the feasibility of applying ontology matching techniques in the context of DynaLearn. For more details you can contact Jorge Gracia (UPM).