Title: Linked Data in SDI or How GML is not about Trees
Citation: Proceedings of the 13th AGILE International Conference on Geographic Information Science - Geospatial Thinking - ISBN 978-989-20-1953-6
Publisher: Association of Geographic Information Laboratories for Europe (AGILE)
Publication Year: 2010
JRC N°: JRC57141
URI: http://plone.itc.nl/agile_old/Conference/2010-guimaraes/ShortPapers_PDF/73_DOC.pdf
Type: Articles in periodicals and books
Abstract: Shared geospatial information spaces are becoming frequently requested. In respect to expert usage, especially in the context of Spatial Data Infrastructure (SDI), many initiatives and research projects have identified the heterogeneity of legacy systems and variety of existing standards as central challenges. Linked Data has been suggested as a possible overall solution. This notion refers to a best practice for exposing, sharing, and connecting resources in the (semantic) web. In this paper, we project the Linked Data approach to SDI and explain why this provides no novelty to the geospatial community. The principles are isomorphic to structures which were introduced to SDI standards ten years ago. Current use and implementations of these standards provide the main blockage, but transformation to conventional Linked Data representation is trivial. This contribution shows a way towards shared information spaces that relies on already well established principles.
JRC Directorate:Sustainable Resources

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