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Book Chapter
Domain Knowledge-Based Automatic Workflow Generation
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 2453/2002
Book
Database and Expert Systems Applications
DOI
10.1007/3-540-46146-9
Copyright
2002
ISBN
978-3-540-44126-7
DOI
10.1007/3-540-46146-9_9
Pages
778-838
Subject Collection
Computer Science
SpringerLink Date
Tuesday, January 01, 2002
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Domain Knowledge-Based Automatic Workflow Generation
Soon Ae Chun
7
, Vijayalakshmi Atluri
7
and Nabil R. Adam
7
(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).
Soon
Ae
Chun
Email:
soon@cimic.rutgers.edu
Vijayalakshmi
Atluri
Email:
atluri@cimic.rutgers.edu
Nabil
R.
Adam
Email:
adam@cimic.rutgers.edu
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