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6. S. Robinson, A tutorial on simulation conceptual modeling, in Proceedings of WSC, ed. by
W.K.V. Chan, A. D’Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, E. Page (IEEE,
Piscataway, New Jersey, USA, 2017), pp. 565–579
7. S. Robinson, Conceptual modelling for simulation part II: a framework for conceptual modelling. J. Operat. Res. Soc. 59(3), 291–304 (2008)
8. R. Arp, B. Smith, A.D. Spear, Building Ontologies with Basic Formal Ontology (MIT Press,
Cambridge, Massachusetts, 2015)
9. G.A. Silver, J.A. Miller, M. Hybinette, G. Baramidze, W.S. York, DeMO: an ontology for
discrete-event modeling and simulation. Simulation 87(9), 747–773 (2011)
10. J. Malone, A. Brown, A.L. Lister, J. Ison, D. Hull, H. Parkinson, R. Stevens, The software
ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital
preservation. J. Biomed. Semant. 5, 25 (2014)
11. Y. Gil, V. Ratnaka, D. Garijo, OntoSoft: capturing scientific software metadata, in Proceedings
of K-CAP 2015, ed. by K. Barker, J.M. Gómez Pérez (ACM, New York, USA, 2015), p. 32
12. X. Zhang, K. Li, C. Zhao, D. Pan, A survey on units ontologies: architecture, comparison and
reuse. Prog. Electron Lib. 51(2), 193–213 (2017)
13. M. Stoica, Scientific Variables Ontology (SVO) (2019), http://www.geoscienceontology.org/.
Accessed 14 Jul 2020
14. M. Stoica, S. Peckham, Incorporating new concepts into the scientific variables ontology, in
Proceedings of eScience, ed. by N. Williams (IEEE, Piscataway, New Jersey, USA, 2019), pp.
539–540
15. F. Borges Ruy, R. de Almeida Falbo, M. Perini Barcellos, S. Dornelas Costa, G. Guizzardi,
SEON: a software engineering ontology networ, in Proceedings of EKAW 2016, ed. by E.
Blomqvist, P. Ciancarini, F. Poggi, F. Vitali, LNCS, vol. 10024 (Springer, Cham, Switzerland,
2016), pp. 527–542
16. G. Guizzardi, Ontological foundations for structural conceptual models. Ph.D. thesis, University of Twente (2005)
17. G. Guizzardi, G. Wagner, J.P. Andrade Almeida, R.S.S. Guizzardi, Towards ontological foundations for conceptual modeling: The unified foundational ontology (UFO) story. Appl. Ontol.
10(3–4), 259–271 (2015)
18. C.Z. de Aguiar, Rd.A. Falbo, V.E. Silva Souza, OOC-O: a reference ontology on object-oriented
code, in Proceedings of ER 2019, ed. by A.H.F. Laender, B. Pernici, E.P. Lim, M. Palazzo, J. de
Oliveira (Conceptual Modeling) LNCS, vol. 11788 (Springer, Cham, Switzerland), pp. 13–27
19. J.B. Lamy, Python et les Ontologies (ENI, Saint-Herblain, France, 2019)
20. OntoSoft Project, OntoSoft Portal (2020), https://www.ontosoft.org/portal/. Accessed 24 Mar
2020
21. F. Boussuge, C.M. Tierney, H. Vilmart, T.T. Robinson, C.G. Armstrong, D.C. Nolan, J.C. Leon,
F. Ulliana, Capturing simulation intent in an ontology: CAD and CAE integration application.
J. Eng. Des. 30(10–12, SI), 688–725 (2019)
22. Laboratoire d’Informatique, de Robotique et de Microeléctronique de Montpellier (LIRMM)
(2019) CoGui tool, https://www.lirmm.fr/cogui/. Accessed 24 Mar 2020
23. J. Mylopoulos, Information modeling in the time of the revolution. Inf. Syst. 23(3–4), 127–155
(1998)
24. P. Murray-Rust, H.S. Rzepa, M. Wright, Development of chemical markup language (CML)
as a system for handling complex chemical content. New J. Chem. 25(4), 618–634 (2001)
25. M. Frenkel, R.D. Chirico, V. Diky, Q. Dong, K.N. Marsh, J.H. Dymond, W.A. Wakeham, S.E.
Stein, E. Königsberger, A.R.H. Goodwin, XML-based IUPAC standard for experimental, predicted, and critically evaluated thermodynamic property data storage and capture (ThermoML).
Pure Appl. Chem. 78(3), 541–612 (2006)
26. M. Frenkel, R.D. Chirico, V. Diky, P.L. Brown, J.H. Dymond, R.N. Goldberg, A.R.H. Goodwin,
H. Heerklotz, E. Königsberger, J.E. Ladbury, K.N. Marsh, D.P. Remeta, S.E. Stein, W.A.
Wakeham, P.A. Williams, Extension of ThermoML: the IUPAC standard for thermodynamic
data communications (IUPAC recommendations 2011). Pure Appl. Chem. 83(10), 1935–1967
(2011)