Data Management in Sensor Networks Using Semantic Web Technologies

نویسندگان

  • Hai Jin
  • Zehua Lv
  • Anastasios Zafeiropoulos
  • Dimitrios-Emmanuel Spanos
  • Stamatios Arkoulis
  • Nikolaos Konstantinou
  • Nikolas Mitrou
  • A. Zafeiropoulos
  • D. E. Spanos
  • S. Arkoulis
چکیده

The increasing availability of small-size sensor devices during the last few years and the large amount of data that they generate has led to the necessity for more efficient methods regarding data management. In this chapter, we review the techniques that are being used for data gathering and information management in sensor networks and the advantages that are provided through the proliferation of Semantic Web technologies. We present the current trends in the field of data management in sensor networks and propose a three-layer flexible architecture which intends to help developers as well as end users to take advantage of the full potential that modern sensor networks can offer. This architecture deals with issues regarding data aggregation, data enrichment and finally, data management and querying using Semantic Web technologies. Semantics are used in order to extract meaningful information from the sensor’s raw data and thus facilitate smart applications development over large-scale sensor networks.

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تاریخ انتشار 2009