Finding Non-compliances with Declarative Process Constraints Through Semantic Technologies

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

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

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Abstract

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.
OriginalspracheEnglisch
Titel des SammelwerksInternational Conference on Advanced Information Systems Engineering Forum, CAiSE 2019 Forum, Rome, Italy
Herausgeber*innen Cinzia Cappiello, Marcela Ruiz
ErscheinungsortCham
VerlagSpringer
Seiten60 - 74
DOIs
PublikationsstatusVeröffentlicht - 2019

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

  • 102022 Softwareentwicklung
  • 102
  • 502017 Logistik
  • 102001 Artificial Intelligence
  • 102013 Human-Computer Interaction
  • 502
  • 502050 Wirtschaftsinformatik

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