RelFinder: Revealing Relationships in RDF Knowledge Bases

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. Key words: semantic user interfaces, semantic web, relationship discovery, linked data, dbpedia, graph visualization.

• Type: Conference
• Year: 2009
• Where: SAMT
• Authors: Philipp Heim, Sebastian Hellmann, Jens Lehmann, Steffen Lohmann, Timo Stegemann
• Keywords: Graph Covering Relationships, Large Knowledge Bases, Multimedia, SAMT 2009, Semantic Web