License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GIScience.2023.37
URN: urn:nbn:de:0030-drops-189323
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18932/
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Haris, Erum ; Cohn, Anthony G. ; Stell, John G.

Understanding the Spatial Complexity in Landscape Narratives Through Qualitative Representation of Space (Short Paper)

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LIPIcs-GIScience-2023-37.pdf (0.8 MB)

Abstract

Narratives are the richest source of information about the human experience of place. They represent events and movement, both physical and conceptual, within time and space. Existing techniques in geographical text analysis usually incorporate named places with coordinate information. This is a serious limitation because many textual references to geography are ambiguous, non-specific, or relative. It is imperative but hard for a geographic information system to capture a text’s sense of place, an imprecise concept. This work aims to utilize qualitative spatial representation and natural language processing to allow representations of all three characteristics of place (location, locale, sense of place) as found in textual sources.

BibTeX - Entry

@InProceedings{haris_et_al:LIPIcs.GIScience.2023.37,
  author =	{Haris, Erum and Cohn, Anthony G. and Stell, John G.},
  title =	{{Understanding the Spatial Complexity in Landscape Narratives Through Qualitative Representation of Space}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{37:1--37:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18932},
  URN =		{urn:nbn:de:0030-drops-189323},
  doi =		{10.4230/LIPIcs.GIScience.2023.37},
  annote =	{Keywords: Narratives, Qualitative spatial representation, Natural language processing}
}

Keywords: Narratives, Qualitative spatial representation, Natural language processing
Collection: 12th International Conference on Geographic Information Science (GIScience 2023)
Issue Date: 2023
Date of publication: 07.09.2023
Supplementary Material: Dataset: https://github.com/UCREL/LakeDistrictCorpus

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