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Publikationstyp
Monographie
Erscheinungsjahr
2013
DOI
Linking Spatial Data in a Nut Shell
Linking Spatial Data in a Nut Shell
INSPIRE 2013, Florence 23.-27. June 2013
Autor:innen
Herausgeber
Quelle
Schlagwörter
Zitation
Linking Spatial Data in a Nut Shell, 2013. [online]. Verfügbar unter: https://openumwelt.de/handle/123456789/9104
Zusammenfassung englisch
Since the Semantic Web community has gained global attention with Linked Data , including geo-encoded data in RDF, OGC has opened towards this movement by adopting "Semantic annotations in OGC standards" as an OGC Best Practice and approving GeoSPARQL as an OGC Member standard. This makes a good start for a spatial data infrastructure based on an integration of OGC and Linked Data patterns, but it does not yet cover observation and metadata. The Federal Environment Agency (UBA), Germany, currently runs an R&D project about Linked Environment Data (LED) which will present one possible solution based on Linked Data standards such as the Data Catalog Vocabulary (DCAT), the Vocabulary of Interlinked Data (VoID), the Simple Knowledge Organisation System (SKOS), and the Data Cubes Vocabulary (QB). Looking at the INSPIRE Metadata Implementing Rule through the eyes of Linked Data, we see a closed world which ignores the Web and generates redundancy. For example, the keyword value in DCAT metadata is just one HTTP URI referencing the original thesaurus concept. Instead of maintain redundancy and synchronisation Linked Data is based on connectivity and intelligent caching. Geo-referenced data can be provided with Linked Data technology and existing vocabularies which may need only few extensions. As the Linked Data cloud is spreading more and more, we recommend the development of additional INSPIRE implementing rules based on these patterns.
Quelle: ©Thomas Schultz-Krutisch