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Visualizing Statistical Linked Knowledge for Decision Support

Brasoveanu, Adrian M. P. and Sabou, Marta and Scharl, Arno and Hubmann-Haidvogel, Alexander and Fischl, Daniel (2017) Visualizing Statistical Linked Knowledge for Decision Support. Semantic Web Journal, 8 (1). pp. 113-137.

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In a global and interconnected economy, decision makers often need to consider information from various domains. A tourism destination manager, for example, has to correlate tourist behavior with financial and environmental indicators to allocate funds for strategic long-term investments. Statistical data underpins a broad range of such cross-domain decision tasks. A variety of statistical datasets are available as Linked Open Data, often incorporated into visual analytics solutions to support decision making. What are the principles, architectures, workflows and implementation design patterns that should be followed for building such visual cross-domain decision support systems. This article introduces a methodology to integrate and visualize cross-domain statistical data sources by applying selected RDF Data Cube (QB) principles. A visual dashboard built according to this methodology is presented and evaluated in the context of two use cases in the tourism and telecommunications domains.

Item Type:Article
Uncontrolled Keywords:Linked Data, Information Visualization, Decision Support Systems, RDF Data Cube, Data Analytics
Subjects:Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
ID Code:103
Deposited By: Prof Dr Arno Scharl
Deposited On:18 Mar 2017 15:23
Last Modified:19 Mar 2017 13:26

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