Semantic Stream Processing for IoT Devices in the Food Safety Domain
نویسندگان
چکیده
The Hazard Analysis and Critical Control Point (HACCP) approach is widely used to develop food safety procedures in restaurants and other food related businesses. IoT devices could be deployed in this context to automate monitoring of critical control points (such as the maximum storage temperature of raw meat). However, such sensor infrastructures will result in the generation of significant amounts of data as well as associated meta-data describing the context for these readings. In this paper, we demonstrate how streams of semantically annotated sensor data can be automatically transformed into concise records describing significant events required to check compliance of business operations against HACCP-based food safety rules.
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