Using Industrial Internet of Things (IoT) Data to Evaluate a Semantic Method for Service Mapping

Abstract

Platforms for the Industrial Internet of Things make it possible to make better decisions based on the data at hand, which in turn boosts efficiency in manufacturing and other commercial proprietary, and coupled with particular IoT gear, data interchange and provisioning between the data sources and platform services continue to be an issue. As a result, we propose and describe in depth an open-source software-based solution called Thing to Service Matching (TSMatch), which enables semantic matching at a fine-grained level between accessible IoT data and services. The report also includes an assessment of the proposed solution's performance in a testbed setting and details its deployment in two distinct Aerospace production scenarios.