RelFinder: Revealing Relationships in RDF Knowledge Bases

Authors:
Philipp Heim;Sebastian Hellmann;Jens Lehmann;Steffen Lohmann;Timo Stegemann
Affiliations:
Visualization and Interactive Systems, University of Stuttgart, Stuttgart, Germany 70569;Agile Knowledge Engineering and Semantic Web, University of Leipzig, Leipzig, Germany 04103;Agile Knowledge Engineering and Semantic Web, University of Leipzig, Leipzig, Germany 04103;Interactive Systems and Interaction Design, University of Duisburg-Essen, Duisburg, Germany 47057;Interactive Systems and Interaction Design, University of Duisburg-Essen, Duisburg, Germany 47057
Venue:
SAMT '09 Proceedings of the 4th International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
Year:
2009

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Abstract

The Semantic Web has recently seen a rise of large knowledge bases (such as DBpedia) that are freely accessible via SPARQL endpoints. The structured representation of the contained information opens up new possibilities in the way it can be accessed and queried. In this paper, we present an approach that extracts a graph covering relationships between two objects of interest. We show an interactive visualization of this graph that supports the systematic analysis of the found relationships by providing highlighting, previewing, and filtering features.