A Framework Supporting the Analysis of Process Logs Stored in Either Relational or NoSQL DBMSs

  • Bettina Fazzinga
  • Sergio Flesca
  • Filippo Furfaro
  • Elio Masciari
  • Luigi Pontieri
  • Chiara Pulice
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9384)

Abstract

The issue of devising efficient and effective solutions for supporting the analysis of process logs has recently received great attention from the research community, as effectively accomplishing any business process management task requires understanding the behavior of the processes. In this paper, we propose a new framework supporting the analysis of process logs, exhibiting two main features: a flexible data model (enabling an exhaustive representation of the facets of the business processes that are typically of interest for the analysis) and a graphical query language, providing a user-friendly tool for easily expressing both selection and aggregate queries over the business processes and the activities they are composed of. The framework can be easily and efficiently implemented by leveraging either “traditional” relational DBMSs or “innovative” NoSQL DBMSs, such as Neo4J.

Keywords

Business process logs Querying 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Bettina Fazzinga
    • 2
  • Sergio Flesca
    • 1
  • Filippo Furfaro
    • 1
  • Elio Masciari
    • 2
  • Luigi Pontieri
    • 2
  • Chiara Pulice
    • 1
  1. 1.DIMES, University of Calabria RendeItaly
  2. 2.ICAR-CNRRendeItaly

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