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Service Mining for Internet of Things

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

Abstract

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.

Keywords

Service mining Service recognition Service relationship Interestingness Service description 

Notes

Acknowledgements

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.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of ScienceRMIT UniversityMelbourneAustralia

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