Spatial data fusion in Spatial Data Infrastructures using Linked Data

Research output: Contribution to journalResearch articleContributedpeer-review



The synthesis of spatial data from the various sources available on the Web is a major challenge for current applications based on Web-based information retrieval and spatial decision-making. This article addresses spatial data fusion, with particular emphasis on its application in Spatial Data Infrastructures (SDIs). Possibilities for the integration of SDI and Semantic Web developments in the context of spatial data fusion are reviewed with a focus on the harmonized description and usage of feature relations. Specifically, potential applications of Linked Data principles are discussed in detail. On this basis, a classification and a decomposition of fusion processes in a service-oriented environment are proposed. A prototype implementation demonstrates the feasibility and usability of the approach using Open Geospatial Consortium (OGC) and Semantic Web standards.


Original languageEnglish
Pages (from-to)613-636
Number of pages24
JournalInternational Journal of Geographical Information Science
Issue number4
Publication statusPublished - 2016

External IDs

Scopus 84955700111
researchoutputwizard legacy.publication#69845



  • Data fusion, Spatial data infrastructure, Linked data, Semantic Web