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Data Integration in the Geospatial Semantic Web

Data Integration in the Geospatial Semantic Web
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Author(s): Patrick Maué (Westfälische Wilhelms-Universität Münster, Germany) and Sven Schade (Westfälische Wilhelms-Universität Münster, Germany)
Copyright: 2009
Volume: 11
Issue: 4
Pages: 23
Source title: Journal of Cases on Information Technology (JCIT)
Editor(s)-in-Chief: Andrew Borchers (Lipscomb University, USA)
DOI: 10.4018/jcit.2009072105

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Abstract

Geospatial decision makers have to be aware of the varying interests of all stakeholders. One crucial task in the process is to identify relevant information available from the Web. In this chapter the authors introduce an application in the quarrying domain which integrates Semantic Web technologies to provide new ways to discover and reason about relevant information. The authors discuss the daily struggle of the domain experts to create decision-support maps helping to find suitable locations for opening up new quarries. After explaining how semantics can help these experts, they introduce the various components and the architecture of the software which has been developed in the European funded SWING project. In the last section, the different use cases illustrate how the implemented tools have been applied to real world scenarios.

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