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UniModeling: A Tool for the Unified Modeling and Reasoning in Outdoor and Indoor Spaces

  • Sari Haj Hussein
  • Hua Lu
  • Torben Bach Pedersen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8098)

Abstract

This paper demonstrates UniModeling; a tool for the unified modeling and reasoning in outdoor and indoor spaces. UniModeling supports constructing unified graph models of outdoor and indoor spaces and RFID deployments in these spaces. It enables probabilistic incorporation of RFID data that facilitates the tracking of moving objects and enables the search for them to be optimized. Furthermore, UniModeling is empowered with three reasoning applications that pertain to the positioning of RFID readers in outdoor and indoor spaces and the points of potential traffic (over)load in these spaces. The utility of UniModeling is demonstrated in concrete steps through applying it to the modeling and reasoning about RFID deployment and baggage handling in an example airport.

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References

  1. 1.
    Worboys, M.: Modeling indoor space. In: ISA (2011)Google Scholar
  2. 2.
    Hagedorn, B., Trapp, M., Glander, T., Döllner, J.: Towards an indoor level-of-detail model for route visualization. In: MDM (2009)Google Scholar
  3. 3.
    Li, D., Lee, D.L.: A lattice-based semantic location model for indoor navigation. In: MDM (2008)Google Scholar
  4. 4.
    Li, X., Claramunt, C., Ray, C.: A grid graph-based model for the analysis of 2d indoor spaces. Computers, Environment and Urban Systems 34(6) (2010)Google Scholar
  5. 5.
    Lu, H., Cao, X., Jensen, C.S.: A foundation for efficient indoor distance-aware query processing. In: ICDE (2012)Google Scholar
  6. 6.
    Yang, L., Worboys, M.: A navigation ontology for outdoor-indoor space (work-in-progress). In: ISA (2011)Google Scholar
  7. 7.
    Niu, W.T., Kay, J.: Personaf: framework for personalised ontological reasoning in pervasive computing. User Modeling and User-Adapted Interaction 20(1), 1–40 (2010)CrossRefGoogle Scholar
  8. 8.
    Hussein, S.H., Lu, H., Pedersen, T.B.: Towards a unified model of outdoor and indoor spaces. In: GIS (2012)Google Scholar
  9. 9.
    Hussein, S.H., Lu, H., Pedersen, T.B.: Reasoning about rfid-tracked moving objects in symbolic indoor spaces. In: SSDBM (2013)Google Scholar
  10. 10.
    Rodriguez, M.A., Neubauer, P.: Constructions from dots and lines. Bulletin of ASIS&T 36(6) (2010)Google Scholar
  11. 11.
    Jensen, C.S., Lu, H., Yang, B.: Graph model based indoor tracking. In: MDM (2009)Google Scholar
  12. 12.
    Koller, D., Friedman, N.: Probabilistic graphical models: principles and techniques. MIT Press (2009)Google Scholar
  13. 13.
    Yuan, C., Druzdzel, M.J.: An importance sampling algorithm based on evidence pre-propagation. In: UAI (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Sari Haj Hussein
    • 1
  • Hua Lu
    • 1
  • Torben Bach Pedersen
    • 1
  1. 1.Department of Computer ScienceAalborg UniversityDenmark

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