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Visual Correlation Analysis to Explain Open Government Data based on Linked-Open Data for Decision Making

Burkhardt, Dirk and Nazemi, Kawa and Parisay, Mohsen and Kohlhammer, Jörn (2014):
Visual Correlation Analysis to Explain Open Government Data based on Linked-Open Data for Decision Making.
In: International Journal of Digital Society, pp. 915-923, 5, (3), DOI: 10.20533/ijds.2040.2570.2014.0116, [Article]

Abstract

Public authorities normally consider statistical data about indicators in their decision makings. Such valid kind of data allows an objective observation about indicator developments over time. In case of a significant deviation from the normal indicator level, it is difficult to understand the reasons for upcoming problems. In this article we present an approach that allows an enhanced information gathering through an improved information overview about the depending aspects to such an indicator by considering governmental data-sources that provide also other types of data than just statistics. Even more, our approach integrates a system that allows generating explanations for Open Government Data, especially to specific indicators, based on Linked-Open Data and shows it in graphical form to enable a fast overview gathering. This allows decision-makers to get hints for unexpected reasons of concrete problems that may influence an indicator.

Item Type: Article
Erschienen: 2014
Creators: Burkhardt, Dirk and Nazemi, Kawa and Parisay, Mohsen and Kohlhammer, Jörn
Title: Visual Correlation Analysis to Explain Open Government Data based on Linked-Open Data for Decision Making
Language: English
Abstract:

Public authorities normally consider statistical data about indicators in their decision makings. Such valid kind of data allows an objective observation about indicator developments over time. In case of a significant deviation from the normal indicator level, it is difficult to understand the reasons for upcoming problems. In this article we present an approach that allows an enhanced information gathering through an improved information overview about the depending aspects to such an indicator by considering governmental data-sources that provide also other types of data than just statistics. Even more, our approach integrates a system that allows generating explanations for Open Government Data, especially to specific indicators, based on Linked-Open Data and shows it in graphical form to enable a fast overview gathering. This allows decision-makers to get hints for unexpected reasons of concrete problems that may influence an indicator.

Journal or Publication Title: International Journal of Digital Society
Volume: 5
Number: 3
Uncontrolled Keywords: Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Policy modeling, Information visualization, Visual analysis, Linked open data (LOD), Decision support
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
DOI: 10.20533/ijds.2040.2570.2014.0116
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