Paper Info
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.
Year
DOI
Venue
2016
10.1007/978-3-319-49004-5_46
EKAW
Keywords
Field
DocType
Linked data,Concept extraction,Visualization,Ontology,SPARQL,RDF,OWL,TBox
Graph drawing,Data mining,Information retrieval,Computer science,Visualization,Abox,Linked data,SPARQL,Web application,Named graph,RDF
Conference
Volume
ISSN
Citations 
10024
0302-9743
2
PageRank 
References 
Authors
0.39
10
3
Name
Order
Citations
PageRank
Marc Weise120.39
Steffen Lohmann262965.25
Florian Haag38510.30