Abstract
Business process models explicitly capture an organization’s operations and thus are essential to a process oriented organization. Typically, hundreds or thousands of models are stored in business process repositories. Effective capabilities to manage and, in particular, search are required to leverage stored business process models.
Yet, search remains a challenge, because business processes cannot easily be compared. Existing approaches to process similarity do not support queries that are significantly smaller than sought models and contain only few, yet important, aspects.
In this paper, we introduce a novel approach to behavioral similarity search that is sensitive to local behavior inclusion, i.e., it will feature models that contain the behavior of a query. This is achieved by comparing local behavioral relationships of a query model with global relationships of candidate models. We present the formal foundation of this approach, derive a similarity measure, and illustrate the applicability of our approach, also with respect to complexity.
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Kunze, M., Weske, M. (2012). Local Behavior Similarity. In: Bider, I., et al. Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2012 2012. Lecture Notes in Business Information Processing, vol 113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31072-0_8
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DOI: https://doi.org/10.1007/978-3-642-31072-0_8
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