skip to main content
10.1145/2534931.2534945acmconferencesArticle/Chapter ViewAbstractPublication PagesgisConference Proceedingsconference-collections
research-article

Creating task-specific maps with map content transformations

Published:05 November 2013Publication History

ABSTRACT

Many mobile applications rely on maps in some form. However, the kind of map that is needed depends on the application and also on the user. However, conventional mapping systems employ on a one-size-fits-all approach, settling on compromises that work reasonably well for many applications. In order to deliver the exact kind of map that is required in a specific situation, we introduce a method that transforms OpenStreetMap data according to scripts that can be specified by the user. The result has the same data format as the original, but is adapted to the specific use case that the writer of the script had in mind. Thus, different representations of the same base data can be constructed when it is needed. As an example case of a user group that can profit from such content transformations, we conducted a user study with blind people which shows that they can benefit from transformed maps.

References

  1. A. Ballatore, G. McArdle, C. Kelly, and M. Bertolotto. Recomap: an interactive and adaptive map-based recommender. In Proceedings of the 2010 ACM Symposium on Applied Computing, SAC '10, pages 887--891, New York, NY, USA, 2010. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. D. Burghardt, M. Neun, and R. Weibel. Generalization services on the web---classification and an initial prototype implementation. Cartography and Geographic Information Science, 32(4):257--268, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  3. S. Gulwani, V. A. Korthikanti, and A. Tiwari. Synthesizing geometry constructions. SIGPLAN Not., 46:50--61, June 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. H.-M. Haav, A. Kaljuvee, M. Luts, and T. Vajakas. Ontology-based retrieval of spatially related objects for location based services. In On the Move to Meaningful Internet Systems: OTM 2009, volume 5871 of Lecture Notes in Computer Science, pages 1010--1024. Springer Berlin Heidelberg, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. P. Janicic. Geometry constructions language. Journal of Automated Reasoning, 44:3--24, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. L. Kulik, M. Duckham, and M. Egenhofer. Ontology-driven map generalization. Journal of Visual Languages & Computing, 16(3):245--267, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. L. Lehto and T. Kilpeläinen. Generalizing xml-encoded spatial data on the web. In Proceedings of the 20th International Cartographic Conference, volume 4, pages 2390--2396, 2001.Google ScholarGoogle Scholar
  8. E. Mac Aoidh, G. McArdle, M. Petit, C. Ray, M. Bertolotto, C. Claramunt, and D. Wilson. Personalization in adaptive and interactive GIS. Annals of GIS, 15(1):23--33, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  9. M. Neun, D. Burghardt, and R. Weibel. Automated processing for map generalization using web services. GeoInformatica, 13(4):425--452, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. T. Reichenbacher. Adaptive methods for mobile cartography. In Proceedings of the 21st International Cartographic Conference (ICC), pages 1311--1321, 2003.Google ScholarGoogle Scholar
  11. B. Schmitz and T. Ertl. Rule-based transformation of map data. In Pervasive Computing and Communications Workshops (PERCOM Workshops), 2012 IEEE International Conference on, pages 584--589, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  12. R. Weibel. Map generalization in the context of digital systems. Cartography and Geographic Information Systems, 22(4):259--263, 1995.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Creating task-specific maps with map content transformations

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Conferences
            MapInteract '13: Proceedings of the 1st ACM SIGSPATIAL International Workshop on MapInteraction
            November 2013
            97 pages
            ISBN:9781450325363
            DOI:10.1145/2534931

            Copyright © 2013 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 5 November 2013

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article

            Acceptance Rates

            MapInteract '13 Paper Acceptance Rate17of20submissions,85%Overall Acceptance Rate17of20submissions,85%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader