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

Authors:
Agnieszka Ławrynowicz;Jedrzej Potoniec;Łukasz Konieczny;Michał Madziar;Aleksandra Nowak;Krzysztof T. Pawlak
Affiliations:
Institute of Computing Science, Poznan University of Technology, Poznan, Poland;Institute of Computing Science, Poznan University of Technology, Poznan, Poland;Institute of Computing Science, Poznan University of Technology, Poznan, Poland;Institute of Computing Science, Poznan University of Technology, Poznan, Poland;Institute of Computing Science, Poznan University of Technology, Poznan, Poland;Institute of Computing Science, Poznan University of Technology, Poznan, Poland
Venue:
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Year:
2011

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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.