• DocumentCode
    3040876
  • Title

    A Semantic-Based Architecture for Sensor Data Fusion

  • Author

    Zafeiropoulos, Anastasios ; Konstantinou, Nikolaos ; Arkoulis, Stamatios ; Spanos, Dimitrios-Emmanuel ; Mitrou, Nikolas

  • Author_Institution
    Nat. Tech. Univ. of Athens, Athens
  • fYear
    2008
  • fDate
    Sept. 29 2008-Oct. 4 2008
  • Firstpage
    116
  • Lastpage
    121
  • Abstract
    In this paper, we present a three-layer flexible architecture which intends to help developers and end users to take advantage of the full potential that modern sensor networks can offer. The proposed architecture deals with issues regarding data aggregation, data enrichment and finally, data management and querying using semantic Web techniques. Semantics are used in order to extract meaningful information from the sensorpsilas raw data and thus facilitate smart applications development over large-scale sensor networks. We describe an open, standards-based, modular architecture which is based on the current standardization efforts of the open geospatial consortium (OGC) and extends them to support semantic Web techniques comprising a core of reusable components and interfaces for supporting different types of services, through Web technologies.
  • Keywords
    data handling; semantic Web; sensor fusion; data aggregation; data enrichment; data management; open geospatial consortium; semantic Web techniques; semantic-based architecture; sensor data fusion; sensor networks; three-layer flexible architecture; Computer architecture; Data mining; Intelligent sensors; Mobile computing; Semantic Web; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Service oriented architecture; Wireless sensor networks; Data Aggregation; OGC; Ontologies; Semantic Web; Sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Ubiquitous Computing, Systems, Services and Technologies, 2008. UBICOMM '08. The Second International Conference on
  • Conference_Location
    Valencia
  • Print_ISBN
    978-0-7695-3367-4
  • Electronic_ISBN
    978-0-7695-3367-4
  • Type

    conf

  • DOI
    10.1109/UBICOMM.2008.67
  • Filename
    4641322