Speaking with spatial relations

Authors:
Lukasz Wawrzyniak;Dennis Nikitenko;Pascal Matsakis
Affiliations:
Department of Computing and Information Science, University of Guelph, Guelph, Ontario Canada, N1G 2W1.;Department of Computing and Information Science, University of Guelph, Guelph, Ontario Canada, N1G 2W1.;Department of Computing and Information Science, University of Guelph, Guelph, Ontario Canada, N1G 2W1
Venue:
International Journal of Intelligent Systems Technologies and Applications
Year:
2006

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Abstract

Natural language descriptions are an important step in bridging the gap between numerical representations of spatial data and the human user. In this work, we present a system for generating linguistic descriptions of the spatial relationships between two-dimensional objects. The most pertinent relations for the description are chosen based on a fuzzification of the set relations DISJOINT, OVERLAP, SUBSET, SUBSETi and EQUAL. A handful of relevant Allen relations is then selected and their Allen F-histograms are analysed to extract further topological and directional information. The approach is validated using several sets of real and synthetic data.