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Topic:

Bringing Knowledge to Business Processes

Date and Place:   AAAI's 2000 Spring Symposium Series, Stanford University, California, March 20-22, 2000

Deadline:   October 8, 1999

Send to: staab@aifb.uni-karlsruhe.de

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

More Details:

****** Bringing Knowledge to Business Processes *********
Workshop in the AAAI Spring   Symposium Series 2000
http://www.aifb.uni-karlsruhe.de/~sst/Research/Events/sss00/
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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.
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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/
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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/
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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

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