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Smart Points of Interest: Big, linked and harmonized spatial data

Citace:
ČERBA, O., MILDORF, T. Smart Points of Interest: Big, linked and harmonized spatial data. In Proceedings, AutoCarto2016. The 19th International Research Symposium on Computer-based Cartography. Albuquerque: CAGIS, 2016. s. 4-13. ISBN: neuvedeno , ISSN: neuvedeno
Druh: STAŤ VE SBORNÍKU
Jazyk publikace: eng
Anglický název: Smart Points of Interest: Big, linked and harmonized spatial data
Rok vydání: 2016
Místo konání: Albuquerque
Název zdroje: CAGIS
Autoři: Ing. Mgr. Otakar Čerba Ph.D. , Ing. Tomáš Mildorf Ph.D. ,
Abstrakt EN: The Smart Points of Interest (SPOI) dataset represents a real example of big and linked spatial data. Moreover, the data are created as a combination of many heterogeneous spatial data, including voluntary data. SPOI data is being developed in the international SDI4Apps project, an EU-funded project coordinated by the University of West Bohemia in Plzen, Czech Republic. SPOI data set is a crucial component of the Open Smart Tourist Data pilot of this SDI4Apps project. The SPOI data contains global data (selected objects from OpenStreetMap, GeoNames.org and Natural Earth) and several local data sets (for example data from the Posumavi region, Czech Republic; Sicily, Italy; experimental ontologies including ski regions in Europe or historical sights in Rome, Italy or data from the Citadel On the Move project including various cities and regions over the world). The added value of the SDI4Apps approach consists in implementation of the linked data approach and RDF format, using standardized and respected properties and development of a completely harmonized data set with a uniform data model and a common classification.
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