Towards a PROV Ontology for Simulation Models

Ruscheinski et al. (2018) applied PROV-DM for capturing provenance information from entire simulation studies and initiated a definition of a PROV-DM ontology for these studies.

“Recently, Ruscheinski et al. (2018) [20] have applied PROV-DM for capturing provenance information from entire simulation studies and initiated a definition of a PROV-DM ontology for these studies.”

Important ingredients of the Ruscheinski et al. ontology are specific types of entities, specific roles between these entities, specific refinement of activities, and specific inference strategies.

“Important ingredients of this ontology have been identified to be “a) specific types of entities (e.g., data, theories, simulation experiments, and simulation models), b) specific roles between these entities (e.g., used as input, used for calibration, used for validation, used for adaptation, used for extension, used for composition), c) specific refinement of activities (i.e., successive refinem”

The authors revised and refined the specialization of PROV-DM introduced by Ruscheinski et al. (2018).

“We have revised and refined the specialization of PROV-DM, which was introduced by Ruscheinski et al. (2018) [20].”

Each entity and activity in the final set has already been mentioned for provenance, modeling or documentation purposes, or experiment design of simulation studies, but they have not all been used together.

“Each entity and activity has already been mentioned for provenance, modeling or documentation purposes, or experiment design of simulation studies [1, 3–5, 8, 20, 21, 60–63], but they have not all been used together.”

The specialization builds on an earlier PROV-DM specialization in which Simulation Model, Simulation Experiment, Simulation Data, and Wet-lab Data were identified as crucial entities of simulation studies.

“It builds on an earlier PROV-DM specialization in which Simulation Model, Simulation Experiment, Simulation Data, and Wet-lab Data have been identified as crucial entities of simulation studies [20].”