• DocumentCode
    3376953
  • Title

    Semantic Building Maps in Mobile Devices

  • Author

    Delgado, Miguel ; Medina, Javier ; Ruiz-Lozano, Dolores ; Vila, Amparo

  • Author_Institution
    Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain
  • fYear
    2009
  • fDate
    20-22 Dec. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The oldest form of environment representation is the map. In this paper, we present a framework for represent building maps. Our proposal is novel because we add semantic to maps for processing and reasoning their content automatically. An Ontology for building maps has been designed to establish a communication between the environment and people. The strength of the ontology is that it represents the semantic qualities, not just the graphic forms. In order to query the building information on an ubiquitous way, our approach has been developed on mobile devices. Thanks to semantic representation, the mobile system integrates routing using the A-star algorithm in the device itself. Besides, we propose a new angles-based heuristic that improves the distance estimation. Finally, we show how update the map information or query routing from remote devices through network services.
  • Keywords
    building; computer graphics; ontologies (artificial intelligence); query processing; semantic Web; ubiquitous computing; A-star algorithm; angles-based heuristic; distance estimation; mobile devices; network services; ontology; query routing; semantic building maps; semantic representation; ubiquitous querying; Birds; Buildings; Computer science; Humans; Java; Mobile communication; Ontologies; Proposals; Routing; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Information Technologies & Applications, 2009. ICUT '09. Proceedings of the 4th International Conference on
  • Conference_Location
    Fukuoka
  • ISSN
    1976-0035
  • Print_ISBN
    978-1-4244-5131-9
  • Type

    conf

  • DOI
    10.1109/ICUT.2009.5405732
  • Filename
    5405732