Service Mining for Internet of Things

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9936)


A service mining framework is proposed that enables discovering interesting relationships in Internet of Things services bottom-up. The service relationships are modeled based on spatial-temporal aspects, environment, people, and operation. An ontology-based service model is proposed to describe services. We present a set of metrics to evaluate the interestingness of discovered service relationships. Analytical and simulation results are presented to show the effectiveness of the proposed evaluation measures.


Service mining Service recognition Service relationship Interestingness Service description 



This research was made possible by NPRP 7-481-1-088 grant from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors.


  1. 1.
    Neiat, A.G., Bouguettaya, A., Sellis, T., Dong, H.: Failure-proof spatio-temporal composition of sensor cloud services. In: Barros, A., Grigori, D., Narendra, N.C., Dam, H.K. (eds.) ICSOC 2015. LNCS, vol. 9435, pp. 368–377. Springer, Heidelberg (2014). doi: 10.1007/978-3-662-45391-9_26 CrossRefGoogle Scholar
  2. 2.
    Zheng, G., Bouguettaya, A.: Service mining on the web. IEEE Trans. Serv. Comput. 2(1), 65–78 (2009)CrossRefGoogle Scholar
  3. 3.
    Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. J. Comput. Netw. 54(15), 2787–2805 (2010)CrossRefzbMATHGoogle Scholar
  4. 4.
    Medjahed, B., Bouguettaya, A.: Composing web services on the semantic web. J. VLDB 12(4), 333–351 (2003)CrossRefGoogle Scholar
  5. 5.
    Baldauf, M., Dustdar, S.: A survey on context-aware systems. J. Ad Hoc Ubiquit. Comput. 2(4), 263–277 (2007)CrossRefGoogle Scholar
  6. 6.
    Abowd, G.D., Dey, A.K., Brown, P.J., Davies, N., Smith, M., Steggles, P.: Towards a better understanding of context and context-awareness. In: Proceedings of International Symposium on Handheld and Ubiquitous Computing, pp. 304–307 (1999)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of ScienceRMIT UniversityMelbourneAustralia

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