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.

To this end, 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:

@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. Proceedings of the 8th Extended Semantic Web Conference (ESWC 2011)",

year = "2011"

}

Components of the SWING approach can be downloaded on the swing web site. In particular, available components are:

• OntologyGenerator: Implementation of the Data acquisition techniques.
• OntologyModifier (IIMB): Modification of the ontology.