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  4. Extraction and visualization of TBox information from SPARQL endpoints
 
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2016
Conference Paper
Title

Extraction and visualization of TBox information from SPARQL endpoints

Abstract
The growing amount of data being published as Linked Data has a huge potential, but the usage of this data is still cumbersome, especially for non-technical users. Visualizations can help to get a better idea of the type and structure of the data available in some SPARQL endpoint, and can provide a useful starting point for querying and analysis. We present an approach for the extraction and visualization of TBox information from Linked Data. SPARQL queries are used to infer concept information from the ABox of a given endpoint, which is then gradually added to an interactive VOWL graph visualization. We implemented the approach in a web application, which was tested on several SPARQL endpoints and evaluated in a qualitative user study with promising results.
Author(s)
Weise, Marc
Lohmann, Steffen  
Haag, Florian
Mainwork
Knowledge engineering and knowledge management. 20th International Conference, EKAW 2016  
Conference
International Conference on Knowledge Engineering and Knowledge Management (EKAW) 2016  
DOI
10.1007/978-3-319-49004-5_46
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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