Landmarks in OpenLS - A data structure for cognitive ergonomic route directions

Stefan Hansen, Kai Florian Richter, Alexander Klippel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Scopus citations

Abstract

Landmarks support the structuring of environmental information into cognitive conceptual units, they have the potential to identify uniquely pertinent intersections for route following, and they disambiguate spatial situations at complex intersections. Not using them in automatically generated route directions is a violation of cognitive ergonomics. While we have made great progress on the one hand in characterizing and on the other hand in mining potential landmarks, viable data structures that incorporate their cognitive conceptual functions in route directions are poorly developed. The present article closes this gap by providing a representation based on the OpenLS standard that allows for capturing the semantics of landmarks. In this data structure, the cognitive conceptual essence of a landmark is represented allowing for generating route directions automatically and imbuing street network data with cognitively meaningful elements.

Original languageEnglish (US)
Title of host publicationGeographic, Information Science - 4th International Conference, GIScience 2006, Proceedings
PublisherSpringer Verlag
Pages128-144
Number of pages17
ISBN (Print)3540445269, 9783540445265
DOIs
StatePublished - 2006
Event4th International Conference on Geographic, Information Science, GIScience 2006 - Munster, Germany
Duration: Sep 20 2006Sep 23 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4197 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Geographic, Information Science, GIScience 2006
Country/TerritoryGermany
CityMunster
Period9/20/069/23/06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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