Discovery of topological constraints on spatial object classes using an extended topological model
Stephan Winter, Ivan Majic, Elham Naghizade, Martin Tomko
Journal of Spatial Information Science | University of Maine | Published : 2019
In a typical data collection process, a surveyed spatial object is annotated upon creation, and is classified based on its attributes. This annotation can also be guided by textual definitions of objects. However, interpretations of such definitions may differ among people, and thus result in subjective and inconsistent classification of objects. This problem becomes even more pronounced if the cultural and linguistic differences are considered. As a solution, this paper investigates the role of topology as the defining characteristic of a class of spatial objects. We propose a data mining approach based on frequent itemset mining to learn patterns in topological relations between objects of..View full abstract
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Awarded by Australian Research Council
Support by the Australian Research Council (DP170100153) is acknowledged.