
Proceedings Paper
Towards a dynamic social-network-based approach for service composition in the Internet of ThingsFormat | Member Price | Non-Member Price |
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Paper Abstract
The User-Generated Service (UGS) concept allows end-users to create their own services as well as to share and
manage the lifecycles of these services. The current development of the Internet-of-Things (IoT) has brought new
challenges to the UGS area. Creating smart services in the IoT environment requires a dynamic social network that
considers the relationship between people and things. In this paper, we consider the know-how required to best organize
exchanges between users and things to enhance service composition. By surveying relevant aspects including service
composition technology, social networks and a recommendation system, we present the first concept of our framework to
provide recommendations for a dynamic social network-based means to organize UGSs in the IoT.
Paper Details
Date Published: 13 January 2012
PDF: 6 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835035 (13 January 2012); doi: 10.1117/12.920953
Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)
PDF: 6 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835035 (13 January 2012); doi: 10.1117/12.920953
Show Author Affiliations
Wen Xu, Beijing Univ. of Posts and Telecommunications (China)
Zheng Hu, Beijing Univ. of Posts and Telecommunications (China)
Zheng Hu, Beijing Univ. of Posts and Telecommunications (China)
Tao Gong, Beijing Univ. of Posts and Telecommunications (China)
Zhengzheng Zhao, Telecom SudParis (France)
Zhengzheng Zhao, Telecom SudParis (France)
Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)
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