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Two Dependency Modeling Approaches for Business Process Adaptation
Conference proceeding   Peer reviewed

Two Dependency Modeling Approaches for Business Process Adaptation

Christian Sell, Matthias Winkler, Thomas Springer and Alexander Schill
KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, v 5914, pp 418-429
01 Jan 2009
DOI: https://doi.org/10.1007/978-3-642-10488-6_40

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems Science & Technology Technology
Complex business processes in the form of workflows or service compositions are built from individual building blocks, namely activities or services. These building blocks cooperate to achieve the overall goal of the process. In many cases dependencies exist between the individual activities, i.e. the execution of one activity depends on another. Knowledge about dependencies is especially important for the management of the process at runtime in cases where problems occur and the process needs to be adapted. In this paper we present and compare two approaches for modeling dependencies as a base for managing adaptations of complex business processes. Based on two use cases from the domain of workflow management and service engineering we illustrate the need for capturing dependencies and derive the requirements for dependency modeling. For dependency modeling we discuss two alternative solutions. One is based on an OWL-DL ontology and the other is based on a meta-model approach. Although many of the requirements of the use cases are similar, we show that there is no single best solution for a dependency model.

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9 citations in Web of Science
11 citations in Scopus

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Industry collaboration
Domestic collaboration
Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Information Systems
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