Technical Report 222, c4e-Preprint Series, Cambridge

Authors: Andreas Eibeck, Mei Qi Lim, and Markus Kraft

Reference: Technical Report 222, c4e-Preprint Series, Cambridge, 2019

Associated Themes:
 

• The importance of ontologies and semantic technologies for cross-domain scenarios in process industry is illustrated.
• The main architectural principles of J-Park Simulator are presented.
• A modular structure for domain ontologies and a distributed knowledge graph are proposed to support the interoperability of agents in cross-domain scenarios.
• An implementation of an industrial air pollution scenario is used to analyze the interoperabilty between agents and to discuss open questions for future work.

In this paper, we illustrate the relevance of ontologies and semantic technologies in process industry and discuss how they can support the interoperability between agents in cross-domain scenarios. We present a comprehensive industrial air pollution scenario, that has been implemented as part of the J-Park Simulator, to analyze questions related to interoperability. The J-Park Simulator utilizes ontologies and acts as platform for integrating real-time data, knowledge, models and tools to fulfill objectives such as simulation and optimization in cross-domain and multi-level scenarios. It utilizes ontologies that are designed in a modular structure from different application domains and a distributed knowledge graph to store and link the data. We conclude that the architecture of JPS supports interoperability in cross-domain scenarios. The final discussion of the industrial air pollution scenario also reveals open questions that should be addressed in future works.

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