Towards a PROV ontology for simulation models

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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.

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Ruscheinski, A., Gjorgevikj, D., Dombrowsky, M., Budde, K., & Uhrmacher, A. M. (2018). Towards a PROV ontology for simulation models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11017 LNCS, pp. 192–195). Springer Verlag. https://doi.org/10.1007/978-3-319-98379-0_17

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