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Mobile GIS: Attribute Data Presentation Under Time and Space Constraints

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GeoSpatial Semantics (GeoS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3799))

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Abstract

An ontology-based generalization scheme is presented with specific reference to object attribute data subjected to space and time constrained extraction and presentation. The method is expected to be of value in mobile GIS for providing travelers with additional spatial information while moving. The space constraint is given by the boundary of an object-specific area of information relevance. The time constraint is given by the number of time units available to present the information as a function of the speed of travel and the spatial distribution of objects. An algorithm for changing the duration of the attribute data presentation is presented. A geodata-ontology is used to specify meaningful tran sitions betweeen levels of generalization.

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Author information

Authors and Affiliations

  1. Institute of Geography, University of Copenhagen, Øster Voldgade 10, Copenhagen, Denmark

    Lasse Møller-Jensen

Authors
  1. Lasse Møller-Jensen
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Editor information

Editors and Affiliations

  1. Center for Web Research, Chile

    M. Andrea Rodríguez

  2. Department of Computer Science, University of Illinois at Chicago, 851 South Morgan Street (M/C 152), 60607, Chicago, IL, USA

    Isabel Cruz

  3. National Polytechnic, Institute, Mexico, Centro de Investigacion en Computacion, Mexico

    Sergei Levashkin

  4. National Center for Geographic Information and Analysis and Department of Spatial Information Science and Engineering, University of Maine, Boardman Hall, 04469-5711, Orono, ME, USA

    Max J. Egenhofer

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© 2005 Springer-Verlag Berlin Heidelberg

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Møller-Jensen, L. (2005). Mobile GIS: Attribute Data Presentation Under Time and Space Constraints. In: Rodríguez, M.A., Cruz, I., Levashkin, S., Egenhofer, M.J. (eds) GeoSpatial Semantics. GeoS 2005. Lecture Notes in Computer Science, vol 3799. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11586180_17

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  • DOI: https://doi.org/10.1007/11586180_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30288-9

  • Online ISBN: 978-3-540-32283-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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