Towards a PROV Ontology for Simulation Models

Ruscheinski, Andreas and Gjorgevikj, Dragana and Dombrowsky, Marcus and Budde, Kai and Uhrmacher, Adelinde M. (2018) Towards a PROV Ontology for Simulation Models. In: Provenance and Annotation of Data and Processes, 09-10 Jul 2018, London, UK. Proceedings, published by Springer International Publishing, pp. 192-195.

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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.

Item Type: Conference or Workshop Item (Paper)
Projects: GrEASE

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