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|Title:||Linked Data and Spatial Data Infrastructures|
|Citation:||Proceedings of the 4th eResearch Australasia Conference|
|Type:||Articles in periodicals and books|
|Abstract:||Spatial Data Infrastructures (SDIs) such as AuScope Grid and INSPIRE are being planned and built using discovery, access and processing components based on a services model. While the principle of distribution and delegation using the internet is a major step forward from traditional data warehouses and private collections, the query-oriented interaction paradigm is merely evolutionary, compared with traditional access systems designed for expert users. In contrast, the success and scalability of the world wide web has been based on hypertext, in which browsing is the key mode of interaction, supported by Universal Resource Identifiers (URIs). Linked Data has been proposed as the bridge from the browseable web to the deep web of technical data. Linked Data is still based on web-pages (usually HTML) for user interactions, but supported by Resource Description Framework (RDF) for richer link semantics. Links can resolve to datasets in legacy file formats which thus serve as leaf-nodes, but can also be part of the web of resources. Key standards used in SDI were designed on Linked Data principles, even before the name was coined. For instance, Geography Markup Language (GML) is essentially an RDF/XML application. Thus, in principle, SDIs should integrate seamlessly into the web of linked data. There are, however, a number of issues to consider or resolve in order to bring this about. These include: the definition of 'resource' in the context of databases that are accessed as projected subsets by query, accessed through web-service interfaces; multiple representations of the same feature from different services to support different applications; semantics embedded in structured representations expressed in non-RDF XML forms; standard vocabulary and identifier services.|
|JRC Directorate:||Sustainable Resources|
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