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RelFinder: Revealing Relationships in RDF Knowledge Bases

Identifieur interne : 000240 ( Istex/Corpus ); précédent : 000239; suivant : 000241

RelFinder: Revealing Relationships in RDF Knowledge Bases

Auteurs : Philipp Heim ; Sebastian Hellmann ; Jens Lehmann ; Steffen Lohmann ; Timo Stegemann

Source :

RBID : ISTEX:BAA92B37FF7925F17ABC3832894BD8607A2DD0D3

Abstract

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.

Url:
DOI: 10.1007/978-3-642-10543-2_21

Links to Exploration step

ISTEX:BAA92B37FF7925F17ABC3832894BD8607A2DD0D3

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<abstract lang="en">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.</abstract>
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