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Reference resolution for pedestrian wayfinding systems
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-2600-7668
2017 (English)In: 20th AGILE International Conference on Geographic Information Science, 2017, Kluwer Academic Publishers , 2017, p. 59-75Conference paper, Published paper (Refereed)
Abstract [en]

References to objects in our physical environment are common especially in language about wayfinding. Advanced wayfinding systems that interact with the pedestrian bymeans of (spoken) natural language therefore need to be able to resolve references given by pedestrians (i.e. understand what entity the pedestrian is referring to). The contribution of this paper is a probabilistic approach to reference resolution in a large-scale, real city environment, where the context changes constantly as the pedestrians are moving. The geographic situation, including information about objects’ location and type, is represented using OpenStreetMap data.

Place, publisher, year, edition, pages
Kluwer Academic Publishers , 2017. p. 59-75
Keywords [en]
Data-driven methods, Natural language processing, Openstreetmap, Pedestrian navigation, Probabilistic approach, Reference resolution, Wayfinding, Air navigation, Geographic information systems, Mobile devices, Natural language processing systems, Telecommunication services, Probabilistic approaches, Way-finding, Location based services
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-207439DOI: 10.1007/978-3-319-56759-4_4Scopus ID: 2-s2.0-85017505207ISBN: 9783319472881 (print)ISBN: 9783319567587 (print)OAI: oai:DiVA.org:kth-207439DiVA, id: diva2:1098118
Conference
9 May 2017 through 12 May 2017
Note

QC 20170523

Available from: 2017-05-23 Created: 2017-05-23 Last updated: 2019-10-17Bibliographically approved

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Götze, JanaJohan, Boye

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf