LI Xinming and SUN Yan, “A Service Mining Scheme Based on Semantic for Internet of Things,” Chinese Journal of Electronics, vol. 23, no. 2, pp. 236-242, 2014,
Citation: LI Xinming and SUN Yan, “A Service Mining Scheme Based on Semantic for Internet of Things,” Chinese Journal of Electronics, vol. 23, no. 2, pp. 236-242, 2014,

A Service Mining Scheme Based on Semantic for Internet of Things

Funds:  This work is supported by the National Natural Science Foundation of China (No.61070205, No.61272520).
  • Received Date: 2012-07-01
  • Rev Recd Date: 2012-11-01
  • Publish Date: 2014-04-05
  • As the development of Internet of things (IOT), massive sensors have been deployed as the public infrastructure. With the development of in-depth applications in IOT, service discovery and composition are challenges to the end users. To handle this challenge, we develop a service mining scheme based on semantic for IOT to provide users with interesting composite services. In this scheme, services can be combined and recommended to users actively according to the calculation of service similarity and an updatable semantic database. By the results of service similarity, useless compositions can be filtered out so that energy consumption on service flooding will be reduced. The update strategy of semantic database is also given out, by which the composite services can keep up with time and be more applicative. The benefits of the proposed method are that all operations such as calculating, filtering, and updating are simple enough to be performed in sensor networks.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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