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The Impact of Classification Approaches on the Detection of Hierarchies in Place Descriptions

  • Daniela RichterEmail author
  • Kai-Florian Richter
  • Stephan Winter
Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

The chapter investigates the identification of hierarchical structures in place descriptions. Different approaches to classify spatial granularity will be compared and applied to a corpus of human place descriptions. Results show how hierarchical structures as well as deviations depend on the respective classifications. They further indicate certain difficulties in developing a suitable classification of spatial references. Findings contribute to the understanding of human spatial language, and thus the development of flexible mechanisms for their interpretation and integration in location-based systems.

Keywords

Hierarchical Structure Classification Scheme Noun Phrase Environmental Space Spatial Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was funded by the Australian Research Council under its Linkage Scheme (LP100200199).

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Daniela Richter
    • 1
    Email author
  • Kai-Florian Richter
    • 2
  • Stephan Winter
    • 2
  1. 1.Institute of Photogrammetry and Remote SensingKarlsruhe Institute of TechnologyKarlsruheGermany
  2. 2.Department of Infrastructure EngineeringThe University of MelbourneMelbourneAustralia

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