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|Title:||Linked Data in SDI or How GML is not about Trees|
|Authors:||SCHADE SVEN; COX SIMON|
|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)|
|JRC Publication N°:||JRC57141|
|Type:||Contributions to Conferences|
|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 Institute:||Institute for Environment and Sustainability|
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