Process Mining is a family of techniques that exploit data collected from process execution to analyze and improve process efficiency, quality, and security. Over the years, many modeling languages have been proposed for process model specification, with different expressiveness, features, and computational properties. We propose a new logic-based declarative formalism, called Constraint Formulae, to compose process specifications, expressed in heterogeneous process modeling languages, without altering their original semantics. We formalize common process mining tasks for Constraint Formulae, study their computational properties, and provide an implementation in Answer Set Programming.

Logic-based Composition of Business Process Models

Valeria Fionda;Antonio Ielo;Francesco Ricca
2023-01-01

Abstract

Process Mining is a family of techniques that exploit data collected from process execution to analyze and improve process efficiency, quality, and security. Over the years, many modeling languages have been proposed for process model specification, with different expressiveness, features, and computational properties. We propose a new logic-based declarative formalism, called Constraint Formulae, to compose process specifications, expressed in heterogeneous process modeling languages, without altering their original semantics. We formalize common process mining tasks for Constraint Formulae, study their computational properties, and provide an implementation in Answer Set Programming.
2023
978-1-956792-02-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/349957
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