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Consistently Handling Geographical User Data

Context-Dependent Detection of Co-located POIs

  • Conference paper
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications (IPMU 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 81))

Abstract

In the context of digital earth applications, points of interest (POIs) denote geographical locations which might be of interest for some user purposes. Examples are nice views, historical buildings, good restaurants, recreation areas, etc. In some applications, POIs are provided and inserted by the user community. A problem hereby is that users can make mistakes due to which the same POI is, e.g., entered multiple times with a different location and/or description. Such POIs are coreferent as they refer to the same geographical object and must be avoided because they can introduce uncertainty in the map. In this paper, a novel soft computing technique for the automatic detection of coreferent locations of POIs is presented. Co-location is determined by explicitly considering the scale at which the POI is entered by the user. Fuzzy set and possibility theory are used to cope with the uncertainties in the data. An illustrative example is provided.

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Author information

Authors and Affiliations

  1. Department of Telecommunications and Information Processing, Ghent University, Sint-Pietersnieuwstraat 41, B-9000, Ghent, Belgium

    Guy De Tré, Antoon Bronselaer & Tom Matthé

  2. Department of Geography, Ghent University, Krijgslaan 281 (S8), B-9000, Ghent, Belgium

    Nico Van de Weghe & Philippe De Maeyer

Authors
  1. Guy De Tré
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  2. Antoon Bronselaer
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  3. Tom Matthé
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  4. Nico Van de Weghe
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  5. Philippe De Maeyer
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Editor information

Editors and Affiliations

  1. Fachbereich Mathematik und Informatik, Philipps-Universität Marburg, Marburg, Germany

    Eyke Hüllermeier

  2. Department of Knowledge Processing and Language Engineering, Otto-von-Guericke University of Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany

    Rudolf Kruse

  3. Fakultät für Elektrotechnik und Informationstechnik, Technische Universität Dortmund, 44221, Dortmund, (Germany)

    Frank Hoffmann

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De Tré, G., Bronselaer, A., Matthé, T., Van de Weghe, N., De Maeyer, P. (2010). Consistently Handling Geographical User Data. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2010. Communications in Computer and Information Science, vol 81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14058-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-14058-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14057-0

  • Online ISBN: 978-3-642-14058-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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