Meronymy-based aggregation of activities in business process models

S. Smirnov, R.M. Dijkman, J. Mendling, M.H. Weske

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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As business process management is increasingly applied in practice, more companies document their operations in the form of process models. Since users require descriptions of one process on various levels of detail, there are often multiple models created for the same process. Business process model abstraction emerged as a technique reducing the number of models to be stored: given a detailed process model, business process model abstraction delivers abstract representations for the same process. A key problem in many abstraction scenarios is the transition from detailed activities in the initial model to coarse-grained activities in the abstract model. This transition is realized by an aggregation operation clustering multiple activities to a single one. So far, humans decide on how to aggregate, which is expensive. This paper presents a semiautomated approach to activity aggregation that reduces the human effort significantly. The approach takes advantage of an activity meronymy relation, i.e., part-of relation defined between activities. The approach is semi-automated, as it proposes sets of meaningful aggregations, while the user still decides. The approach is evaluated by a real-world use case.
Original languageEnglish
Title of host publicationConceptual modeling - ER 2010 : 29th international conference on conceptual modeling, Vancouver, BC, Canada, November 1-4, 2010 : proceedings
EditorsJ. Parsons, M. Saeki
Place of PublicationBerlin
ISBN (Print)978-3-642-16373-9
Publication statusPublished - 2010
Event29th International Conference on Conceptual Modeling, ER 2010 - Vancouver, Canada
Duration: 1 Nov 20104 Nov 2010
Conference number: 29

Publication series

NameLecture Notes in Computer Science


Conference29th International Conference on Conceptual Modeling, ER 2010
Abbreviated titleER 2010
Other29th International Conference on Conceptual Modeling


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