• DocumentCode
    2561556
  • Title

    Linked sensor data

  • Author

    Patni, Harshal ; Henson, Cory ; Sheth, Amit

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
  • fYear
    2010
  • fDate
    17-21 May 2010
  • Firstpage
    362
  • Lastpage
    370
  • Abstract
    A number of government, corporate, and academic organizations are collecting enormous amounts of data provided by environmental sensors. However, this data is too often locked within organizations and underutilized by the greater community. In this paper, we present a framework to make this sensor data openly accessible by publishing it on the Linked Open Data (LOD) Cloud. This is accomplished by converting raw sensor observations to RDF and linking with other datasets on LOD. With such a framework, organizations can make large amounts of sensor data openly accessible, thus allowing greater opportunity for utilization and analysis.
  • Keywords
    program compilers; sensor fusion; LOD; RDF; environmental sensors; linked open data; linked sensor data; resource description framework; Clouds; Computer science; Data engineering; Government; Hurricanes; Joining processes; Publishing; Resource description framework; Sensor phenomena and characterization; Standardization; Dataset Generation; Linked Data; Resource Description Framework (RDF); Semantic Sensor Web; Sensor Data; Sensor Web Enablement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaborative Technologies and Systems (CTS), 2010 International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-6619-1
  • Type

    conf

  • DOI
    10.1109/CTS.2010.5478492
  • Filename
    5478492