Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Consistent Abstraction of Business Processes Based on Constraints

  • Shamila Mafazi
  • , Georg Grossmann
  • , Wolfgang Mayer
  • , Michael Schrefl
  • , Markus Stumptner

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

Abstract

Exploring and understanding large business process models are important tasks in the context of business process management. In recent years, several techniques have been proposed for the abstraction of business processes. Automated abstraction techniques have been devised for verifying correctness and consistency of process models and for providing customised process views for business process analysts. Yet a goal-focused and semantic-based approach to generate purposeful abstraction of business processes is an open issue. We propose an approach for configuration of process abstractions with respect to a specific abstraction goal expressed as constraints on the correspondence relation between concrete and abstract process and process transformation operators. Our framework goes beyond simple structural aggregation and leverages domain-specific properties, taxonomies, meronymy, and flow criteria to generate a hierarchy of abstract process models. We outline the constraint-based framework, describe how rewriting-based abstraction mechanisms are embedded with consistency criteria guiding the search for abstractions, and show how notions of behavior consistency can be utilised to obtain abstractions that conform to behavioural process inheritance criteria.
OriginalspracheEnglisch
Seiten (von - bis)59-78
Seitenumfang20
FachzeitschriftJournal on Data Semantics
Volume4
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - März 2015

Wissenschaftszweige

  • 102 Informatik
  • 102010 Datenbanksysteme
  • 102015 Informationssysteme
  • 102016 IT-Sicherheit
  • 102025 Verteilte Systeme
  • 102027 Web Engineering
  • 102028 Knowledge Engineering
  • 102030 Semantische Technologien
  • 502050 Wirtschaftsinformatik
  • 503008 E-Learning

JKU-Schwerpunkte

  • Computation in Informatics and Mathematics
  • Management and Innovation

Dieses zitieren