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ThinkMind // SEMAPRO 2020, The Fourteenth International Conference on Advances in Semantic Processing // View article semapro_2020_2_20_30010


Enabling System Artifacts Reuse Through the Semantic Representation of EngineeringModels: a Case Study of Simulink Models

Authors:
Roy Mendieta
Eduardo Cibrián
Jose María Álvarez-Rodríguez
Juan Llorens

Keywords: information representation; physical system models; simulink; model reuse; knowledge reuse.

Abstract:
Currently, digital twins are being designed to provide a virtual version of complex physical systems. Modelling and simulation techniques and tools are used to design these engineering products embedding domain knowledge in many system artifacts available under different protocols, formats and meta-models. The cost of development of these virtual artifacts is usually very high implying the need of saving time and costs by means of increasing their reusability factor. A first step to ease the reuse relies on the ability of looking up a system artifact according to some input query. To do so, it is necessary to design a knowledge management strategy unifying the structure and representation of these artifacts and provide a search service that can exploit the indexed information. In this work, we propose a semantic model to represent system artifacts and demonstrate its application through a search service consuming simulation models (designed with the Matlab Simulink tool, a block diagram environment for multidomain simulation and Model-Based Design). Furthermore, an experiment has been conducted to show the precision and recall of this semantic search service.

Pages: 30 to 35

Copyright: Copyright (c) IARIA, 2020

Publication date: October 25, 2020

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-813-6

Location: Nice, France

Dates: from October 25, 2020 to October 29, 2020

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