Multimodal Provenance-based Analysis of Collaboration in Business Processes


  • Maria Luiza Falci Universidade Federal Fluminense
  • Andréa Magalhães Universidade Federal Fluminense
  • Aline Paes Universidade Federal Fluminense
  • Vanessa Braganholo Universidade Federal Fluminense
  • Daniel de Oliveira Universidade Federal Fluminense



Multimodal Data Provenance, Provenance Data, Business Process Data


Modeling business processes as a set of activities to accomplish goals naturally makes them be executed several times. Usually, such executions produce a large portion of provenance data in different formats such as text, audio, and video. Such a multiple-type nature gives origin to multimodal provenance data. Analyzing multimodal provenance data in an integrated form may be complex and error-prone when manually performed as it requires extracting information from free-text, audio, and video files. However, such an analysis may generate valuable insights into the business process. The present article presents MINERVA (Multimodal busINEss pRoVenance Analysis). This approach focuses on identifying improvements that can be implemented in business processes, as well as in collaboration analysis using multimodal provenance data. MINERVA was evaluated through a feasibility study that used data from a consulting company.


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How to Cite

Falci, M. L., Magalhães, A., Paes, A., Braganholo, V., & de Oliveira, D. (2021). Multimodal Provenance-based Analysis of Collaboration in Business Processes. Journal of Information and Data Management, 12(5).



SBBD 2020 Short papers - Extended Papers