Linked geospatial data has recently received attention, as researchers and practitioners have started tapping the wealth of geospatial information available on the Web. We discuss some core research problems that arise when querying linked geospatial data, and explain why these are relevant for the qualitative spatial reasoning community. The problems are presented in the context of our recent work on the models stRDF and stSPARQL and their extensions with indefinite geospatial information.}

Challenges for Qualitative Spatial Reasoning in Linked Geospatial Data / M., Koubarakis; K., Kyzirakos; M., Karpathiotakis; C., Nikolaou; M., Sioutis; Vassos, Stavros; D., Michail; T., Herekakis; C., Kontoes; I., Papoutsis. - (2011), pp. 33-38.

Challenges for Qualitative Spatial Reasoning in Linked Geospatial Data

VASSOS, STAVROS;
2011

Abstract

Linked geospatial data has recently received attention, as researchers and practitioners have started tapping the wealth of geospatial information available on the Web. We discuss some core research problems that arise when querying linked geospatial data, and explain why these are relevant for the qualitative spatial reasoning community. The problems are presented in the context of our recent work on the models stRDF and stSPARQL and their extensions with indefinite geospatial information.}
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/507560
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