Matching Semantic Web Resources

Abstract

In this paper, we propose knowledge-chunk based techniques for instance matching and mapping discovery of Semantic Web resources. Knowledge chunks provide a synthetic representation of semantic descriptions of individuals with the aim to improve matching efficiency also in presence of rich and articulated RDF/OWL resource descriptions for the domain. The main implementation choices in the HMatch 2.0 system and the evaluation results obtained on a corpus of web resource descriptions in the Athletics domain are also presented.