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Domain Knowledge-Based Automatic Workflow Generation

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2453))

Abstract

The traditional workflow design paradigm relies heavily on humans who statically specify business processes. However, such a manualdesign approach is not suitable for many cases: (a) Inter-agency work- flows that cross autonomous organizationalb oundaries require experts who possess knowledge required for defining workflows composed of services from the constituent organizations; (b) Customized workflows that require many variations make it infeasible and error-prone to predefine the complex workflow in advance. This paper presents an alternative design paradigm that allows automatic on-the-fly generation of a workflow schema. This dynamically integrated workflow composition approach utilizes conceptual ontologies of domain services (tasks) and domain integration knowledge that serves as a model for workflow integration (composition) rules. It also uses user profiles (preferences) as part of (transient) compositionalrul e base.We present a prototype system for “registering a new business” in the State of New Jersey that implements this automatic workflow design methodology.

This work is partially supported by the National Science Foundation under grant EIA-9983468 and by MERI (the Meadowlands Environmental Research Institute).

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© 2002 Springer-Verlag Berlin Heidelberg

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Chun, S.A., Atluri, V., Adam, N.R. (2002). Domain Knowledge-Based Automatic Workflow Generation. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2002. Lecture Notes in Computer Science, vol 2453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46146-9_9

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  • DOI: https://doi.org/10.1007/3-540-46146-9_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44126-7

  • Online ISBN: 978-3-540-46146-3

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