The SWING Approach

This side provides the implementation of the SWING approach presented in the publication:

@InProceedings{ swing11, title = "{Benchmarking Matching Applications on the Semantic Web}", author = "A. Ferrara and S. Montanelli and J. Noessner and H. Stuckenschmidt", booktitle = "The Semantic Web: Research and Applications", year = "2011" }

Abstract

The evaluation of matching applications is becoming a major issue in the semantic web and it requires a suitable methodological approach as well as appropriate benchmarks. In particular, in order to evaluate a matching application under different experimental conditions, it is crucial to provide a test dataset characterized by a controlled variety of different heterogeneities among data that rarely occurs in real data repositories. In this paper, we propose SWING (Semantic Web INstance Generation), a disciplined approach to the semi-automatic generation of benchmarks to be used for the evaluation of matching applications. SWING is illustrated in the paper by presenting the specific benchmark we generated for the international instance matching contest at ontology alignment evaluation initiative (OAEI) 2010 (called IIMB 2010) and by discussing the experimental results obtained on it with different matching algorithms.

Content of this Site

In particular, we provide the following: * OntologyGenerator: Implementation of the Data acquisition techniques. * OntologyModifier (IIMB): Modification of the ontology. * EvaluationResults: Further Results of our evaluation.

Your Feedback

If you use SWING for your project and it has been helpful (or hasn't) we would be happy to hear about it. We would also be happy if you could send us a copy of any published work that uses SWING and if you could cite the publication above in this case.