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    Computational structure in three-valued nearness relations

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    Computational structure in three-valued nearness relations (193.7Kb)

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    Author
    DUCKHAM, MATT; WORBOYS, MICHAEL
    Date
    2001
    Source Title
    Lecture Notes in Computer Science 2205
    Publisher
    Springer
    University of Melbourne Author/s
    Duckham, Matt; WORBOYS, MICHAEL
    Affiliation
    Engineering: Department of Geomatics
    Metadata
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    Document Type
    Book Chapter
    Citations
    Duckham, M., & Worboys, M. (2001). Computational structure in three-valued nearness relations. In, D. Montello (Eds.) Lecture Notes in Computer Science 2205 (pp. 76-91). Springer.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/33602
    Description

    This is a post-print of a chapter in Lecture Notes in Computer Science 2205 published by Springer. This version is reproduced with the permission of Springer. http://www.springer.com/series/558

    Abstract
    The development of cognitively plausible models of humanspatial reasoning may ultimately result in computational systems thatare better equipped to meet human needs. This paper explores how humansubjects perceive the qualitative spatial relation nearness within anenvironmental space. Based on experimental data, a three-valued nearnessrelation is analysed in two stages. First, the results are analysedwith special reference to the existence of subsets of candidate landmarkplaces, from which nearness relations between other places may be partiallyinferred. Second, the desirable properties of such landmark setsare considered and some of their formal properties are presented. Theseproperties are then considered in the light of the data furnished by theexperiment. The paper concludes with a discussion of the signicance ofthe analyses and the scope for further work in this area.
    Keywords
    nearness; qualitative spatial reasoning; landmarks; data mining; similarity relation

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