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LD-VOWL: Extracting and visualizing schema information for linked data

 
: Weise, Marc; Lohmann, Steffen; Haag, Florian

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Volltext (PDF; )

Ivanova, V.:
Second International Workshop on Visualization and Interaction for Ontologies and Linked Data, VOILA 2016. Proceedings. Online resource : Co-located with the 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan, October 17, 2016
Kobe, 2016 (CEUR Workshop Proceedings 1704)
http://ceur-ws.org/Vol-1704/
S.120-127
International Workshop on Visualization and Interaction for Ontologies and Linked Data (VOILA) <2, 2016, Kobe>
International Semantic Web Conference (ISWC) <15, 2016, Kobe>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

Abstract
Users currently face the problem that schema information for Linked Data is often not available. If it is available, it tends to be incomplete or does not adequately represent the data. It can therefore be hard for users to get an impression of the data provided by some Linked Data source. In this paper, we introduce LD-VOWL, a web-based tool that extracts and visualizes schema information of Linked Data sources based on the VOWL notation. SPARQL queries are used to infer the schema information from the data of the source, which is then gradually added to an interactive VOWL graph visualization. We tested LD-VOWL on a number of Linked Data endpoints with promising results.

: http://publica.fraunhofer.de/dokumente/N-445133.html