A Review for Semantic Sensor Web Research and Applications

نویسندگان

  • Chaoqun Ji
  • Jin Liu
  • Xiaofeng Wang
چکیده

To realize sharing and reuse of sensor data and improve interoperability, semantic sensor web (SSW) is proposed to add semantic information to existing sensor networks by utilizing domain, spatial and temporal anthologies and other related semantic technology. This paper presents state of the art of SSW from various aspects from the basic concepts, characters of SSW and the core technologies of SSW to the representative real world applications. Besides, it presents the challenges and the possible future research areas in SSW.

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تاریخ انتشار 2014