Abstract
Simulation models and data are the primary products of simulation studies. Although the provenance of simulation data and the support of single simulation experiments have received a lot of attention, this is not the case for simulation models. The question of how a simulation model has been generated requires to integrate diverse simulation experiments and entities at different levels of abstractions within and across entire simulation studies. Based on a concrete simulation model, we will use the PROV Data Model (PROV-DM) and illuminate the benefits of the PROV-DM approach to identify and relate entities and activities that contributed to the generation of a simulation model, thereby taking first steps in defining a PROV-DM ontology for simulation models.
The research was funded by the DFG (German Research Foundation) UH 66/18 “GrEASE” and by DFG CRC 1270 “Elaine”.
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Ruscheinski, A., Gjorgevikj, D., Dombrowsky, M., Budde, K., Uhrmacher, A.M. (2018). Towards a PROV Ontology for Simulation Models. In: Belhajjame, K., Gehani, A., Alper, P. (eds) Provenance and Annotation of Data and Processes. IPAW 2018. Lecture Notes in Computer Science(), vol 11017. Springer, Cham. https://doi.org/10.1007/978-3-319-98379-0_17
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DOI: https://doi.org/10.1007/978-3-319-98379-0_17
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