Modified map search engine: geographical features extraction for ranking of modified maps

  • Authors:
  • Junki Matsuo;Daisuke Kitayama;Ryong Lee;Kazutoshi Sumiya

  • Affiliations:
  • University of Hyogo, Hyogo, Japan;University of Hyogo, Hyogo, Japan;University of Hyogo, Hyogo, Japan;University of Hyogo, Hyogo, Japan

  • Venue:
  • Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
  • Year:
  • 2011

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Abstract

Digital maps available on the Web are widely used for obtaining regional information. These maps are modified differently for different purposes. For example, roadside information is emphasized and other information curtailed on maps for route guidance. Thus, real-world information is described by modifying elements on maps on the basis of the purpose. On the other hand, users could have a wide variety of needs: for instance, a user may require a map tailored to a specific purpose, whereas other users may require maps designed for greater readability. We describe a modified map search engine that adjusts the features presented on maps to match user requirements. We also discuss how the features required by users can be extracted. In experiments, we considered maps for two types of purposes: object-confirming and path-finding. With our novel modified map retrieval method, we believe that modified maps will be useful when the information presented matches user requirements.