Service mining for Internet of Things
This work addresses service discovery for Internet of Things applications, but it appears incremental as it builds on existing mining and ontology concepts.
The paper tackled the problem of discovering relationships in Internet of Things services by proposing a service mining framework that models relationships based on spatial-temporal aspects, environment, people, and operation, and it presented analytical and simulation results to show the effectiveness of the proposed evaluation measures.
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.