Structural salience of landmarks for route directions

Alexander Klippel, Stephan Winter

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

100 Citations (Scopus)

Abstract

This paper complements landmark research with an approach to formalize the structural salience of objects along routes. The aim is to automatically integrate salient objects - landmarks - into route directions. To this end, two directions of research are combined: the formalization of salience of objects and the conceptualization of wayfinding actions. We approach structural salience with some taxonomic considerations of point-like objects with respect to their positions along a route and detail the effects of different positions on the conceptualization process. The results are used to extend a formal language of route knowledge, the wayfinding choreme theory. This research contributes to a cognitive foundation for next generation navigation support and to the aim of formalizing gcosemantics.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages347-362
Number of pages16
DOIs
StatePublished - Dec 1 2005
EventInternational Conference on Spatial Information Theory, COSIT 2005 - Ellicottville, NY, United States
Duration: Sep 14 2005Sep 18 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3693 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Spatial Information Theory, COSIT 2005
CountryUnited States
CityEllicottville, NY
Period9/14/059/18/05

Fingerprint

Landmarks
Formal languages
Formal Languages
Navigation
Formalization
Complement
Integrate
Object

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Klippel, A., & Winter, S. (2005). Structural salience of landmarks for route directions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 347-362). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3693 LNCS). https://doi.org/10.1007/11556114_22
Klippel, Alexander ; Winter, Stephan. / Structural salience of landmarks for route directions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. pp. 347-362 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Klippel, A & Winter, S 2005, Structural salience of landmarks for route directions. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3693 LNCS, pp. 347-362, International Conference on Spatial Information Theory, COSIT 2005, Ellicottville, NY, United States, 9/14/05. https://doi.org/10.1007/11556114_22

Structural salience of landmarks for route directions. / Klippel, Alexander; Winter, Stephan.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 347-362 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3693 LNCS).

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

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Klippel A, Winter S. Structural salience of landmarks for route directions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 347-362. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11556114_22