Personal and Ubiquitous Computing

, Volume 13, Issue 7, pp 527–538 | Cite as

A multimodal semantic location service for intelligent environments: an application for Smart Hospitals

  • Antonio Coronato
  • Massimo Esposito
  • Giuseppe De Pietro
Original Article


This paper presents semantic models, mechanisms and a service to locate mobile entities in Smart and Intelligent Environments. The key feature of the service is the semantic integration of different positioning systems that not only enables the environment to handle transparently such physical positioning systems, but also to reason on location information coming from different systems and to combine it to obtain higher context information. Indeed, the service relies on the use of ontologies and rules to define a uniform, unambiguous and well-defined model for the location information, independently of the particular positioning system. Moreover, the location service performs logic and reasoning mechanisms to provide both physical and semantic locations of mobile objects and to infer the finest granularity in the case when a mobile object is located by more than one positioning system. Finally, we present an application of the proposed approach to the case of a Smart Hospital.


Smart and Intelligent Environments Location services Healthcare Semantic integration 



This work has been partly supported by the project “PHDS” within the “POR, Misura 3.17” funded by the Italian “Regione Campania”.


  1. 1.
    Weiser M (1991) The computer for the 21st century. Sci Am 265(3):94–104CrossRefGoogle Scholar
  2. 2.
    Saha D, Murkrjee A (2003) Pervasive computing: a paradigm for the 21st century. IEEE Comp 36(3):25–31Google Scholar
  3. 3.
    Harter A, Hopper A, Steggles P, Ward A, Webster P (1999) The Anatomy of a Context-Aware Application, Proceedings of Mobi- Com 99, Seattle, Washington, 17-19 August., pp. 59–68, ACM Press, New York, NY, USAGoogle Scholar
  4. 4.
    Brumitt B, Meyers B, Krumm J, Kern A, Shafer SA (2000) EasyLiving: technologies for intelligent environments, proceedings of HUC 2000, Bristol, UK, 25–27 September. Springer, London, pp 12–29Google Scholar
  5. 5.
    Kindberg T et al (2000) People, places, things: web presence for the real world, proceedings of WMCSA 2000. IEEE Computer Society, Washington, Monterey, 7–8 December, pp 19–28Google Scholar
  6. 6.
    Roth J (2003) Flexible positioning for location-based services. IADIS J I(2):18–32. WWW/InternetGoogle Scholar
  7. 7.
    Chen H, Perich F, Chakraborty D, Finin T, Joshi A (2004) Intelligent agents meet semantic web in a smart meeting room. In: Proceedings of AAMAS 2004. IEEE Computer Society, New York, pp 854–861, 19 JulyGoogle Scholar
  8. 8.
    Pradhan S (2000) Semantic locations. Pers Technol 4(4):213–216CrossRefMathSciNetGoogle Scholar
  9. 9.
    Fischmeister S, Menkhaus G, Stumpfl A (2003) Location-detection strategies in pervasive computing environments. In: Proceedings of PERCOM03, Forth Worth. IEEE Computer Society, Texas, pp 273–278, 23–26 MarchGoogle Scholar
  10. 10.
    Koo SGM, Rosenberg C, Chan H-H, Chung Lee Y (2003) Location-based E-campus web services: from design to deployment. In: Proceedings of PERCOM03, Forth Worth. IEEE Computer Society, Texas, pp 207–215, 23–26 MarchGoogle Scholar
  11. 11.
    Hightower J, Borriello G (2001) Location systems for ubiquitous computing. IEEE Comp 34(8):57–66Google Scholar
  12. 12.
    Grosof B, Horrocks I, Volz R, Decker S (2003) Description logic programs: combining logic programs with description logic, proceedings of WWW-2003, Budapest, Hungary, 20–23 May. ACM Press, New York, pp 48–57Google Scholar

Copyright information

© Springer-Verlag London Limited 2009

Authors and Affiliations

  • Antonio Coronato
    • 1
  • Massimo Esposito
    • 1
    • 2
  • Giuseppe De Pietro
    • 1
  1. 1.Italian National Research CouncilInstitute for High Performance Computing and Networking, ICARNaplesItaly
  2. 2.Centro DirezionaleUniversity of Naples “Parthenope”NaplesItaly

Personalised recommendations