An Evaluation of a Semantic Thing To Service Matching Approach in Industrial IoT Environments

Nisrine Bnouhanna, Erkan Karabulut, Rute C. Sofia, Erin E. Seder, Gabriele Scivoletto, Gianluca Insolvibile

Abstract: Industrial Internet of Things Platforms enable the use of available data to improve production and business processes. However, the data exchange and provisioning between the data sources and platform services remain a challenge as such platforms are usually vendor specific, proprietary, and associated with specific IoT hardware. Therefore, we propose a detailed description of an open-source software-based solution, Thing to Service Matching (TSMatch) which performs fine-grained semantic matching between available IoT data and services. Moreover, the paper presents the actual implementation of the proposed solution in 2 different Aerospace production environments, and a performance evaluation in a testbed environment.