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OPSitu: A Semantic-Web Based Situation Inference Tool Under Opportunistic Sensing Paradigm

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Mobile and Ubiquitous Systems: Computing, Networking, and Services (MobiQuitous 2013)

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Abstract

Opportunistic sensing becomes a competitive sensing paradigm nowadays. Instead of pre-deploying application-specific sensors, it makes use of sensors that just happen to be available to accomplish its sensing goal. In the opportunistic sensing paradigm, the sensors that can be utilized by a given application in a given time are unpredictable. This brings the Semantic-Web based situation inference approach, which is widely adopted in situation-aware applications, a major challenge, i.e., how to handle uncertainty of the availability and confidence of the sensing data. Although extending standard semantic-web languages may enable the situation inference to be compatible with the uncertainty, it also brings extra complexity to the languages and makes them hard to be learned. Unlike the existing works, this paper developed a situation inference tool, named OPSitu, which enables the situation inference rules to be written in the well accepted standard languages such as OWL and SWRL even under opportunistic sensing paradigm. An experiment is also described to demonstrate the validity of OPSitu.

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Acknowledgments

This work is funded by the National High Technology Research and Development Program of China (863) under Grant No. 2013AA01A605, the National Basic Research Program of China (973) under Grant No. 2011CB302604 and the National Natural Science Foundation of China under Grant No.61121063.

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Authors and Affiliations

  1. Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, 100871, China

    Jiangtao Wang, Yasha Wang & Yuanduo He

  2. School of Electronics Engineering and Computer Science, Peking University, Beijing, China

    Jiangtao Wang & Yuanduo He

  3. National Engineering Research Center of Software Engineering, Peking University, Beijing, China

    Yasha Wang

Authors
  1. Jiangtao Wang
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  2. Yasha Wang
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  3. Yuanduo He
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Correspondence to Yasha Wang .

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Editors and Affiliations

  1. University of Ottawa, Ottawa, Ontario, Canada

    Ivan Stojmenovic

  2. School of Computer Science and Engineering,The University of Aizu Tsuruga, Fukushima, Japan

    Zixue Cheng

  3. School of Computer Science and Engineering, The University of Aizu Tsuruga, Fukushima, Japan

    Song Guo

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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, J., Wang, Y., He, Y. (2014). OPSitu: A Semantic-Web Based Situation Inference Tool Under Opportunistic Sensing Paradigm. In: Stojmenovic, I., Cheng, Z., Guo, S. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-319-11569-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-11569-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11568-9

  • Online ISBN: 978-3-319-11569-6

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