ASPARAGUS - A system for automatic SPARQL query results aggregation using semantics

Abstract

We present a prototype system, named ASPARAGUS, that performs aggregation of SPARQL query results on a semantic baseline, that is by an exploitation of the background ontology expressing the semantics of the returned results. The system implements the recent research results on semantic grouping, and semantic clustering. In the former case, results are deductively grouped taking into account the subsumption hierarchy deduced by the knowledge base. In the latter case, the results are clustered that is inductively formed, based on the similarity of the individual resources. We discuss the architecture of the implemented system, its underlying technologies, and applied technical solutions. © 2011 Springer-Verlag Berlin Heidelberg.