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Talks and Poster Presentations (with Proceedings-Entry):

F. Mocnik, A. Frank:
"Modelling Spatial Structures";
Talk: 12th International Conference, COSIT 2015, Santa Fe, NM, USA; 2015-10-12 - 2015-10-16; in: "Spatial Information Theory", S. Fabrikant, M. Raubal, M. Bertolotto, C. Davies, S. Freundschuh, S. Bell (ed.); Springer International Publishing Switzerland, LNCS 9368 (2015), ISBN: 978-3-319-23374-1; 44 - 64.



English abstract:
Data is spatial if it contains references to space. We can easily detect explicit references, for example coordinates, but we cannot detect whether data implicitly contains references to space, and whether it has properties of spatial data, if additional semantic information is missing. In this paper, we propose a graph model that meets typical properties of spatial data. we can, by the comparison of a graph representation of a ata set to the graph model, decide whether the data set (implicitly or explicitly) has these typical properties of spatial data.

German abstract:
Data is spatial if it contains references to space. We can easily detect explicit references, for example coordinates, but we cannot detect whether data implicitly contains references to space, and whether it has properties of spatial data, if additional semantic information is missing. In this paper, we propose a graph model that meets typical properties of spatial data. we can, by the comparison of a graph representation of a ata set to the graph model, decide whether the data set (implicitly or explicitly) has these typical properties of spatial data.

Keywords:
Raum, räumliche Struktur, räumliche Daten, Zeit, Graphenmodell, räumliches Netzwerk, Maßstabsunabhängigkeit

Created from the Publication Database of the Vienna University of Technology.