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Domain Knowledge-Based Automatic Workflow Generation

Soon Ae ChunContact Information, Vijayalakshmi AtluriContact Information and Nabil R. AdamContact Information

(7)  CIMIC and MS/IS Department, Rutgers University, Newark, New Jersey, USA
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).

Contact Information Soon Ae Chun
Email: soon@cimic.rutgers.edu

Contact Information Vijayalakshmi Atluri
Email: atluri@cimic.rutgers.edu

Contact Information Nabil R. Adam
Email: adam@cimic.rutgers.edu
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