Flexible Patterns of Place for Function-based Search of Space (Short Paper)

Authors Emmanuel Papadakis , Andreas Petutschnig , Thomas Blaschke

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Emmanuel Papadakis
  • Dept. of Geoinformatics - Z_GIS, University of Salzburg, Schillerstr. 30, 5020 Salzburg, Austria
Andreas Petutschnig
  • Dept. of Geoinformatics - Z_GIS, University of Salzburg, Schillerstr. 30, 5020 Salzburg, Austria
Thomas Blaschke
  • Dept. of Geoinformatics - Z_GIS, University of Salzburg, Schillerstr. 30, 5020 Salzburg, Austria

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Emmanuel Papadakis, Andreas Petutschnig, and Thomas Blaschke. Flexible Patterns of Place for Function-based Search of Space (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 54:1-54:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)


Place is a human interpretation of space; it augments the latter with information related to human activities, services, emotions and so forth. Searching for places rather than traditional space-based search represents significant challenges. The most prevalent method of addressing place-related queries is based on placenames but has limited potential due to the vagueness of natural language and its tendency to lead to ambiguous interpretations. In previous work we proposed a system-oriented formalization of place that goes beyond placenames by introducing composition patterns of place. In this study, we introduce flexibility into these patterns in terms of what is necessarily or possibly included when describing the spatial composition of a place and propose a novel automated process of extracting these patterns relying on both theoretical and empirical knowledge. The proposed methodology is exemplified through the use case of locating all the shopping areas within London, UK.

Subject Classification

ACM Subject Classification
  • Information systems → Geographic information systems
  • Theory of computation → Modal and temporal logics
  • Functions
  • Place
  • Patterns
  • Function-based search
  • Place-based GIS


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