Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Data Integration in the Geospatial Semantic Web

Data Integration in the Geospatial Semantic Web
View Sample PDF
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


View Data Integration in the Geospatial Semantic Web on the publisher's website for pricing and purchasing information.


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.

Related Content

Raya Basil Alothman, Imad Ibraheem Saada, Basma Salim Bazel Al-Brge. © 2022. 18 pages.
Abdulraheem Jamil Ahmed, Falah Hasan Mohammed, Naji Abdullah Majedkan. © 2022. 11 pages.
Saravanan S., Sujitha Juliet. © 2022. 14 pages.
Raed Fadel Jawid. © 2022. 18 pages.
. © 2022.
. © 2022.
Manvi Breja, Sanjay Kumar Jain. © 2022. 16 pages.
Body Bottom