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.
CITATION STYLE
Huang, B., Bouguettaya, A., Dong, H., & Chen, L. (2016). Service mining for internet of things. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9936 LNCS, pp. 566–574). Springer Verlag. https://doi.org/10.1007/978-3-319-46295-0_36
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