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Web-in-car: a web search method not requiring keyword input for car navigation systems

Published:05 November 2008Publication History

ABSTRACT

We have developed a method that integrates Web search with car navigation systems. The method allows for automatic retrieval and display of relevant Web pages without the need to input keywords. We assume that the operations a user performs on a car navigation system's digital map reflect specific intentions which can be determined through analysis and interpretation of the user operation sequence, in turn providing a basis for the automatic generation of Web queries and display of relevant Web pages. In this demo, we explain the method's implementation on a real car navigation system and detail the analysis and interpretation of user operation involved.

References

  1. Joe Weakliam, Michela Bertolotto, and David Wilson. Implicit interaction proflling for recommending spatial content. In Proc. of the 13th International Symposium of Advances in Geographic Information Systems (ACM GIS 2005), pages 285--294, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Ryoko Hiramoto and Kazutoshi Sumiya. Web Information Retrieval Based on User Operation on Digital Maps. In Proc. of the 14th International Symposium of Advances in Geographic Information Systems (ACM GIS 2006), pages 99--106, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Masayoshi Hirose, Ryoko Hiramoto, and Kazutoshi Sumiya. Geminimap:geographical enhanced map interface for navigation on the internet. In Proc. of 7th International Symposium on Web and Wireless GIS (W2GIS 2007), pages 279--292, November 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Web-in-car: a web search method not requiring keyword input for car navigation systems

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    • Published in

      cover image ACM Conferences
      GIS '08: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
      November 2008
      559 pages
      ISBN:9781605583235
      DOI:10.1145/1463434

      Copyright © 2008 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 5 November 2008

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      Acceptance Rates

      Overall Acceptance Rate220of1,116submissions,20%

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