Towards a standard computational representation for system entity structures

System Entity Structure (SES) is a high-level ontology which was introduced for knowledge representation of decomposition, taxonomy and coupling of systems. It has its roots from the systems theory-based approaches to modeling and simulation. SES has been applied for various purposes by modeling and simulation community, however, there still exists a lack of standardized computational representation. This hinders the shareability of SES artifacts and interoperability of SES tools. In search for wider acceptance and eventual standardization, this paper proposes a computational representation and supporting application agnostic tool suite: SESEditor and PESEditor.

[1]  Bernard P. Zeigler,et al.  Creating suites of models with system entity structure: global warming example , 2013, SpringSim.

[2]  Sven Hartmann,et al.  Computational Representation for a Simulation Scenario Definition Language , 2018 .

[3]  Thorsten Pawletta,et al.  Design patterns for variability modeling using SES ontology , 2018, SpringSim.

[4]  Bernard P. Zeigler,et al.  System Entity Structure for XML Meta Data Modeling; Application to the US Climate Normals , 2008, SEDE.

[5]  Bernard P. Zeigler,et al.  Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange , 2007 .

[6]  Thorsten Pawletta,et al.  System entity structure and model base framework in model based engineering of simulations for technical systems , 2017, SpringSim.

[7]  Thorsten Pawletta,et al.  MATLAB/Simulink's Variant Manager vs SESToPy , 2019, Simul. Notes Eur..

[8]  Thorsten Pawletta,et al.  Extended variability modeling using system entity structure ontology within MATLAB/Simulink , 2016, SpringSim.

[9]  Bernard P. Zeigler,et al.  Multifacetted Modelling and Discrete Event Simulation , 1984 .

[10]  Bernard P. Zeigler,et al.  System entity structuring and model base management , 1990, IEEE Trans. Syst. Man Cybern..

[11]  Thorsten Pawletta,et al.  Model-based testing methodology using system entity structures for MATLAB/Simulink models , 2016, Simul..

[12]  Thorsten Pawletta,et al.  System Entity Structure Ontology Toolbox for MATLAB/Simulink: Used for Variant Modelling , 2015 .

[13]  Sven Hartmann,et al.  Using System Entity Structures to Model the Elements of a Scenario in a Research Flight Simulator , 2017 .

[14]  Laurent Capocchi,et al.  System entity structure extension to integrate abstraction hierarchies and time granularity into DEVS modeling and simulation , 2016, Simul..

[15]  C. M. Sperberg-McQueen,et al.  W3C XML Schema Definition Language (XSD) 1.1 Part 1: Structures , 2012 .

[16]  Umut Durak.  Extending the Knowledge Discovery Metamodel for architecture-driven simulation modernization , 2015, Simul..