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    Ontology-driven map generalization

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    Author
    Kulik, L; Duckham, M; Egenhofer, MJ
    Date
    2005
    Source Title
    Journal of Visual Languages and Computing
    Publisher
    Elsevier
    University of Melbourne Author/s
    Kulik, Lars; Duckham, Matt
    Affiliation
    Geomatics
    Metadata
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    Document Type
    Journal Article
    Citations
    Kulik, L., Duckham, M. & Egenhofer, M. J. (2005). Ontology-driven map generalization. Journal of Visual Languages and Computing, 16 (3), pp.245-267. https://doi.org/10.1016/j.jvlc.2005.02.001.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/30971
    DOI
    10.1016/j.jvlc.2005.02.001
    Abstract
    Different users of geospatial information have different requirements of that information. Matching information to users' requirements demands an understanding of the ontological aspects of geospatial data. In this paper, we present an ontology-driven map generalization algorithm, called DMin, that can be tailored to particular users and users' tasks. The level of detail in a generated map is automatically adapted by DMin according to the semantics of the features represented. The DMin algorithm is based on a weighting function that has two components: (1) a geometric component that differs from previous approaches to map generalization in that no fixed threshold values are needed to parameterize the generalization process and (2) a semantic component that considers the relevance of map features to the user. The flexibility of DMin is demonstrated using the example of a transportation network.
    Keywords
    Artificial Intelligence and Image Processing; Computer Software

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