Finding Non-compliances with Declarative Process Constraints Through Semantic Technologies

Claudio Di Ciccio, Fajar J. Ekaputra, Alessio Cecconi, Andreas Ekelhart, Elmar Kiesling

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

60 Downloads (Pure)


Business process compliance checking enables organisations to assess whether their processes fulfil a given set of constraints, such as regulations, laws, or guidelines.
Whilst many process analysts still rely on ad-hoc, often handcrafted per-case checks, a variety of constraint languages and approaches have been developed in recent years to provide automated compliance checking.
A salient example is Declare, a well-established declarative process specification language based on temporal logics.
Declare specifies the behaviour of processes through temporal rules that constrain the execution of tasks.
So far, however, automated compliance checking approaches typically report compliance only at the aggregate level, using binary evaluations of constraints on execution traces.
Consequently, their results lack granular information on violations and their context, which hampers auditability of process data for analytic and forensic purposes.
To address this challenge, we propose a novel approach that leverages semantic technologies for compliance checking.
Our approach proceeds in two stages.
First, we translate Declare templates into statements in SHACL, a graph-based constraint language. Then,
we evaluate the resulting constraints on the graph-based, semantic representation of process execution logs.
We demonstrate the feasibility of our approach by testing its implementation on real-world event logs. Finally, we discuss its implications and future research directions.
Original languageEnglish
Title of host publicationInternational Conference on Advanced Information Systems Engineering Forum, CAiSE 2019 Forum, Rome, Italy
Editors Cinzia Cappiello, Marcela Ruiz
Place of PublicationCham
Pages60 - 74
Publication statusPublished - 2019

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102022 Software development
  • 102
  • 502017 Logistics
  • 102001 Artificial intelligence
  • 102013 Human-computer interaction
  • 502
  • 502050 Business informatics

Cite this