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Simulation Scenario Ontology

The simulation scenario ontology aims to provide structures for modeling of energy system simulation scenarios as part of the NFDI4Energy plattform.

List of existing ontologies

As a first step towards developing the simulation scenario ontology, we reviewed existing ontologies and evaluated their relevance for definition of simulation scenarios. The relevant ontologies are listed here.

Ontology Link Last Update Open Source License Literature
COSMO - - No No Y. M. Teo and C. Szabo, „CODES: An integrated approach to composable modeling and simulation“, Proc. - Simul. Symp., S. 103–110, 2008, doi: https://doi.org/10.1109/ANSS-41.2008.24.
DEMO https://cobweb.cs.uga.edu/~jam/jsim/DeMO/ ? Yes No G. A. Silver, J. a. Miller, M. Hybinette, G. Baramidze, und W. S. York, „DeMO: An Ontology for Discrete-event Modeling and Simulation“, Simulation, Bd. 87, Nr. 9, S. 747–773, 2011, doi: https://doi.org/10.1177/0037549710386843.
OSMO http://www.molmod.info/semantics/osmo.ttl 2020 Yes LGPL 3 M. T. Horsch, D. Toti, S. Chiacchiera, M. A. Seaton, G. Goldbeck, und I. T. Todorov, „OSMO: Ontology for simulation, modelling, and optimization“, CEUR Workshop Proc., Bd. 2969, 2021.
PIMODES - - No No L. W. Lacy, „Interchanging Discrete event simulation Process Interaction Models using the Web Ontology Language-OWL“, University of Central Florida, 2006.
Ontology for Urban Energy Simulation https://github.com/Ja98/ues/tree/master 05/2023 Yes No
FMI ontology https://github.com/UdSAES/fmi2rdf 02/2022 Yes MIT M. Stüber and G. Frey, „Dynamic system models and their simulation in the Semantic Web“, Semantic Web, Bd. 1, S. 1–36, 2023, doi: https://doi.org/10.3233/sw-233359.
SMS ontology https://github.com/UdSAES/sms-ontology 09/2022 Yes MIT M. Stüber and G. Frey, „Dynamic system models and their simulation in the Semantic Web“, Semantic Web, Bd. 1, S. 1–36, 2023, doi: https://doi.org/10.3233/sw-233359.
SimWis - ? No No J. Stolipin and S. Wenzel, „Ontologiebasierte Methodik zur Unterstützung der Nachnutzung von Simulationswissen“, at "Simulation in Produktion und Logistik" 2019, Auerbach, 2019.
OEO https://github.com/OpenEnergyPlatform/ontology 09/2024 Yes CC0 1.0 M. Booshehri et al., „Energy and AI Introducing the Open Energy Ontology : Enhancing data interpretation and interfacing in energy systems analysis“, Energy AI, Bd. 5, Nr. April, S. 100074, 2021, doi: https://doi.org/10.1016/j.egyai.2021.100074
EnArgus https://www.enargus.de/ 2017 Yes CC BY-SA 3.0 L. Oppermann et al., „Finding and analysing energy research funding data: The EnArgus system“, Energy AI, Bd. 5, S. 100070, Sep. 2021, doi: https://doi.org/10.1016/j.egyai.2021.100070.

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