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Identifying the Geographical Scope of Prohibition Signs

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Spatial Information Theory (COSIT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9368))

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Abstract

Prohibition signs warn of actions considered dangerous or annoying. Typically, these signs are located near the beginning of their scope, but knowledge about applicable prohibitions is important at any place within the scope. We developed an automated method to determine the scope of signs, aiming to support volunteered geographic information (VGI) applications that wish to capture prohibitions. In this paper we investigate the problem of computing the scope of geo-referenced signs that refer to human outdoor activities using OpenStreetMap (OSM) data. We analyze the problem and discuss the specific challenges faced. From the analysis we derive a symbolic representation that links activities with (OSM) map features, enabling semantic assessment of map features with respect to a prohibition and reasoning to infer its scope. In a comparative evaluation we demonstrate that our spatial-semantic approach significantly outperforms a previous method based on proximity.

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Notes

  1. 1.

    http://www.openstreetmap.org/about, last accessed 06.04.2015.

  2. 2.

    http://taginfo.openstreetmap.org/keys, last accessed 15.06.2015.

  3. 3.

    http://iphone.bosch.com/mydriveassist/, last accessed 27.03.2015.

  4. 4.

    http://wiki.openstreetmap.org/wiki/Map_Features, last accessed 10.06.2015.

  5. 5.

    https://github.com/hopfkons/prohibitionSigns.

References

  1. Ballatore, A., Bertolotto, M., Wilson, D.: Geographic knowledge extraction and semantic similarity in OpenStreetMap. Knowl. Inf. Syst. 37(1), 61–81 (2013)

    Article  Google Scholar 

  2. Bennett, B.: Space, time, matter and things. In: Welty, C., Smith, B. (eds.) Proceedings of the 2nd International Conference on Formal Ontology in Information Systems (FOIS 2001), pp. 105–116. ACM, Ogunquit (2001)

    Google Scholar 

  3. Bennett, B., Mallenby, D., Third, A.: An ontology for grounding vague geographic terms. In: Eschenbach, C., Gruninger, M. (eds.) Proceedings of the 5th International Conference on Formal Ontology in Information Systems (FOIS-08). IOS Press, Amsterdam (2008)

    Google Scholar 

  4. Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuAs): Technische Regel für Arbeitsstätten ASR A1.3. Gemeinsames Ministaralblatt (GMBl) 2013(16), 334–347 (2013) (In German)

    Google Scholar 

  5. Bundesministerium für Verkehr, Bau und Stadtentwicklung (BMVI), Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit (BMU): Verordnung zur Neufassung der Straßenverkehrs-Ordnung (StVO) vom 6. März 2013. Bundesgesetzblatt 2013(12), 367–427 (2013) (In German)

    Google Scholar 

  6. Fonseca, F.T., Egenhofer, M.J.: Ontology-driven geographic information systems. In: Proceedings of the 7th ACM International Symposium on Advances in Geographic Information Systems, pp. 14–19. ACM (1999)

    Google Scholar 

  7. Janowicz, K., Raubal, M., Kuhn, W.: The semantics of similarity in geographic information retrieval. J. Spat. Inf. Sci. 2011(2), 29–57 (2011)

    Google Scholar 

  8. Kanevski, M., Pozdnoukhov, A., Timonin, V.: Machine learning for spatial environmental data: theory, applications, and software. EPFL press, Lausanne (2009)

    Book  Google Scholar 

  9. Kurata, Y.: The 9\(^ \text{+ } \)-Intersection: a universal framework for modeling topological relations. In: Cova, T.J., Miller, H.J., Beard, K., Frank, A.U., Goodchild, M.F. (eds.) GIScience 2008. LNCS, vol. 5266, pp. 181–198. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  10. Penn, A., Turner, A.: Space syntax based agent simulation. In: 1st International Conference on Pedestrian and Evacuation Dynamics (2001)

    Google Scholar 

  11. Samsonov, P., Tang, X., Schöning, J., Kuhn, W., Hecht, B.: You cant smoke here: Towards support for space usage rules in locationaware technologies. Technical report 14–022, University of Minnesota (2014)

    Google Scholar 

  12. Schwering, A.: Approaches to semantic similarity measurement for geo-spatial data: a survey. Trans. GIS 12(1), 5–29 (2008)

    Article  Google Scholar 

  13. Ulmer, A., Halatsch, J., Kunze, A., Müller, P., Van Gool, L.: Procedural design of urban open spaces. Proceed. eCAADe 25, 351–358 (2007)

    Google Scholar 

  14. S̆egvic̆, S., Brkić, K., Kalafatić, Z., Pinz, A.: Exploiting temporal and spatial constraints in traffic sign detection from a moving vehicle. Mach. Vis. Appl. 25(3), 649–665 (2014)

    Article  Google Scholar 

  15. Van Hage, W.R., Wielemaker, J., Schreiber, G.: The space package: Tight integration between space and semantics. Trans. GIS 14(2), 131–146 (2010)

    Article  Google Scholar 

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Acknowledgements

Financial support of Technnogieallianz Oberfranken (TAO) is gratefully acknowledged. The approach presented in this paper is a significantly revised method previously submitted to a student’s programming competition organized by the German Informatics Society. We thank Alexander Baumgärtner for his contribution to implementing the system.

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Authors and Affiliations

  1. Faculty of Information Systems and Applied Computer Science, University of Bamberg, Bamberg, Germany

    Konstantin Hopf, Florian Dageförde & Diedrich Wolter

Authors
  1. Konstantin Hopf
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  2. Florian Dageförde
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  3. Diedrich Wolter
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Corresponding authors

Correspondence to Konstantin Hopf or Diedrich Wolter .

Editor information

Editors and Affiliations

  1. University of Zurich, Zurich, Switzerland

    Sara Irina Fabrikant

  2. ETH Zurich, Zurich, Switzerland

    Martin Raubal

  3. School of Computer Science and Informatics, University College Dublin, Dublin, Ireland

    Michela Bertolotto

  4. University of Winchester, Winchester, United Kingdom

    Clare Davies

  5. Dept. of Geography and Env. Studies, University of New Mexico, Albuquerque, New Mexico, USA

    Scott Freundschuh

  6. College of Arts and Science, University of Saskatchewan, Saskatoon, Canada

    Scott Bell

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Hopf, K., Dageförde, F., Wolter, D. (2015). Identifying the Geographical Scope of Prohibition Signs. In: Fabrikant, S., Raubal, M., Bertolotto, M., Davies, C., Freundschuh, S., Bell, S. (eds) Spatial Information Theory. COSIT 2015. Lecture Notes in Computer Science(), vol 9368. Springer, Cham. https://doi.org/10.1007/978-3-319-23374-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-23374-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23373-4

  • Online ISBN: 978-3-319-23374-1

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