Towards a PROV Ontology for Simulation Models

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 generat...

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Bibliographic Details
Published inProvenance and Annotation of Data and Processes Vol. 11017; pp. 192 - 195
Main Authors Ruscheinski, Andreas, Gjorgevikj, Dragana, Dombrowsky, Marcus, Budde, Kai, Uhrmacher, Adelinde M.
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Provenance
Simulation model
Simulation study
Online AccessGet full text
ISBN3319983784
9783319983783
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-98379-0_17

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Summary: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.
Bibliography:The research was funded by the DFG (German Research Foundation) UH 66/18 “GrEASE” and by DFG CRC 1270 “Elaine”.
ISBN:3319983784
9783319983783
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-98379-0_17