Computer Science and Information Technology Vol. 1(3), pp. 225 - 232
DOI: 10.13189/csit.2013.010308
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A Graph-based Overview Visualization for Data Landscapes

Grigor Tshagharyan ¹, Hans-Jorg Schulz, ^2,*
1 Faculty of Informatics and Applied Mathematics, Yerevan State University, 0025 Yerevan, Armenia
² Faculty of Computer Science and Electrical Engineering, University of Rostock, 18051 Rostock, Germany

ABSTRACT

In many domains, it becomes more and more common that an analysis spans various interlinked data sources that we collectively term data landscape. Yet for the selection of appropriate data sources from the wide range of available ones, current approaches and systems rarely offer more support than a File-Opendialog. This paper presents a visualization approach that aims to give a stable and meaningful overview of a data landscape to ease finding and selecting data sources that may be useful in a subsequent visual analysis. As such, it serves as a visual starting point from which to bootstrap a visual analysis by finding and selecting the data sources relevant to a question at hand. This approach is exemplified by applying it to a current snapshot of the data landscape from the CKAN-LOD data hub consisting of 216 data sources with 613 links between them.

KEYWORDS
Linked Open Data, LOD Cloud, Multi-modal Data Visualization

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Grigor Tshagharyan , Hans-Jorg Schulz, , "A Graph-based Overview Visualization for Data Landscapes," Computer Science and Information Technology, Vol. 1, No. 3, pp. 225 - 232, 2013. DOI: 10.13189/csit.2013.010308.

(b). APA Format:
Grigor Tshagharyan , Hans-Jorg Schulz, (2013). A Graph-based Overview Visualization for Data Landscapes. Computer Science and Information Technology, 1(3), 225 - 232. DOI: 10.13189/csit.2013.010308.