****** Bringing Knowledge to Business Processes *********

Workshop in the AAAI Spring Spring Symposium Series 2000

http://www.aifb.uni-karlsruhe.de/~sst/Research/Events/sss00/

                CFP -  Deadline, October 8th, 1999

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Call for Participation

Providing the right piece of knowledge to the right person(s) at
the right time is a primary goal of Knowledge Management (KM).
Work in the areas of Business Process Management (BPM) and
Artificial Intelligence (AI) holds a high potential for contributing to
this goal, but so far, there are few interactions among these fields.
Thus, although innovative systems for business process support
require the convergence and integration of tools and techniques
from AI, BPM and KM, unifying views on this area are still absent.

This symposium will address the widespread need for both intelligent
behavior as well as user- and situation-specific adaptation in automated

business processes. We are interested, in general, in new ways to
enhance knowledge-intensive business processes. In particular, we are
looking for novel solutions that cross the boundaries of AI, KM, and
BPM, thus integrating techniques and practices of all three areas.

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Submission Information

We invite contributions that advance the state-of-the-art in the
triangle of AI, KM, and BPM and allow these communities to learn
from each other. The AI side could potentially provide knowledge-based
approaches that streamline business processes; techniques may include
knowledge representation and reasoning, ontologies, planning,
reasoning under uncertainty, case-based reasoning, distributed AI,
agent-based systems, adaptive systems or learning systems. The KM
side might cover issues like information integration, support of
cooperative
work and context-dependent knowledge delivery, while BPM could
contribute techniques for modeling, analysing and optimizing processes.

Persons interested in participating should submit either a technical
paper (less than 5000 words) or a position paper (less than 1500 words)
addressing new research issues. In addition, we solicit proposals for
panel discussions and break-out groups that work towards visions for
intelligent processes. The topics handled in these break-out groups
might include, e.g. strategies for knowledge corporations, scenarios for

evaluation, or new forms of cooperation between the three subfields.

****************** NEW *************************
Papers submitted to the workshop may be considered in a
revised version for publication in a special issue "AI in Knowledge
Management" of the Elsevier journal on Knowledge-based Systems.
Cf. http://www.aifb.uni-karlsruhe.de/~sst/Research/Events/kbskm/
*************************************************

Please indicate whether you want a revision of your contribution be
considered for publication in the special issue.

Additional, on-going information will be posted at:
http://www.aifb.uni-karlsruhe.de/~sst/sss00/

Submit before October 8, 1999 in electronic form (strongly preferred!)
to:

staab@aifb.uni-karlsruhe.de

or send three hard copies of your submission to:

„Bringing Knowledge to Business Processes“
Steffen Staab, Institute AIFB,
Karlsruhe University,
D-76128 Karlsruhe,
Germany
Telephone: +49-721-6087363
Fax: +49-721-693717

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The Venue

AAAI's 2000 Spring Symposium Series takes place at Stanford
University, California, March 20-22, 2000. The Spring Symposium
Series is an annual set of meetings run in parallel at a common site.
It is designed to bring colleagues together in an intimate forum
while at the same time providing a significant gathering point for
the AI community. The two and a half day format of the series allows
participants to devote considerably more time to feedback and
open discussion than typical one-day workshops. It is an ideal
venue for bringing together new communities in emerging fields.

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Organizing Committee:

     Contact: Steffen Staab (co-chair), Karlsruhe University, Germany

     Dan O'Leary (co-chair), USC, USA
     Ann Macintosh, University of Edinburgh, UK
     Leora Morgenstern, IBM T.J. Watson Research, USA
     Mark Musen, Stanford University, USA
     Ulrich Reimer, Swiss Life, Switzerland
     Wil van der Aalst, Eindhoven University of Technology, The Netherlands