Theme Identification in RDF Graphs

An increasing number of RDF datasets is published on the Web. A user willing to use these datasets will first have to explore them in order to determine which information is relevant for his specific needs. To facilitate this exploration, we present an approach allowing to provide a thematic view of a given RDF dataset, making it easier to target the relevant resources and properties. The main contribution of this work is to combine existing clustering techniques with some semantic preferences set by the user to identify the themes. The proposed approach comprises three steps: (i) capturing users preferences, (ii) applying a clustering algorithm to identify the themes and (iii) extracting labels describing each of them. In this paper, we describe the main features of our approach.