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The Advent of the Internet-of-Things (IoT) paradigm has brought opportunitiesto solve many real-world problems. Energy management, for example, hasattracted huge interest from academia, industries, governments and regulatorybodies. It involves collecting energy usage data, analyzing it, and optimizingthe energy consumption by applying control strategies. However, in industrialenvironments, performing such optimization is not trivial. The changes inbusiness rules, process control, and customer requirements make it much morechallenging. In this paper, a Semantic Rules Engine (SRE) for industrialgateways is presented that allows implementing dynamic and flexible rule-basedcontrol strategies. It is simple, expressive, and allows managing ruleson-the-fly without causing any service interruption. Additionally, it canhandle semantic queries and provide results by inferring additional knowledgefrom previously defined concepts in ontologies. SRE has been validated andtested on different hardware platforms and in commercial products. Performanceevaluations are also presented to validate its conformance to the customerrequirements.

SRE: Semantic Rules Engine For the Industrial Internet-Of-Things Gateways