[comp.lang.prolog] CFP: Knowledge Base Management Systems

finin@prc.unisys.com (Tim Finin) (03/10/90)

				   
			CALL FOR PARTICIPATION
				   
			 AAAI-90 Workshop on
		  Knowledge Base Management Systems
				   
			 Boston Hynes Center
			    July 29, 1990
				   
Large knowledge based systems share many of the characteristics of
both databases and large software systems.  Knowledge base systems and
languages need the same sort of capabilities as existing database
management systems offer, including persistence, concurrent update,
shared access, and large scale.  However, the knowledge based setting
presents unique requirements which must be addressed, such as a more
expressive representation language and a more sophisticated
consistency checking capability.  At the same time knowledge bases
are, in many respects, like large software systems.  This leads to
requirements for better tools and environments to support their
development, validation and maintenance.  This workshop will address
the issues involved in building knowledge base management systems with
a focus on two areas.

The first focus area deals with supporting the development,
maintenance, and evolution of large knowledge bases. How does the
knowledge base development cycle differ from the traditional software
development cycle?  What are the difficulties in supporting the
multi-paradigm environments in which many knowledge based systems are
built? Is knowledge base development a design task to which the work
in design databases can be applied?

The second focus area concerns coupling knowledge bases and databases.
Many times it is necessary for a knowledge based system to query or
update an existing database which is used by many other applications.
In this case the knowledge based system must identify the set of
relevant data from the DBMS on which to base its decisions. What
happens if this set of data is very large or changing quickly? What
modifications must be made to a database management system in order to
allow efficient access by knowledge based applications? Are the
requirements of knowledge based systems unique in this regard? Another
coupling of knowledge bases and databases occurs when a database is
used as a backend to store a knowledge base. A third approach is to
integrate an inference engine into a DBMS so that a portion of the
knowledge based system is moved inside the DBMS. Are either of these
two approaches likely to prove helpful in building real applications?

This workshop will be open to developers and users interested in these
issues.  Each participant is asked to submit a two to five page
position paper addressing these or closely related issues.  Attendance
is by invitation only and is limited to roughly 30 participants. About
half of the participants will be asked to make presentations over the
course of the day. The position papers will be distributed as working
notes to all participants and a summary of the workshop will appear in
AI Magazine.  There will be a $50 registration fee.

Send five copies of your position paper by April 15th to:

	Eric Mays
	IBM T.J. Watson Research Center
	P.O. Box 218 (Rt. 134 & Taconic)
	Yorktown Heights, NY 10598
	Phone: 914-945-3587

IMPORTANT DATES:

 o April 15 - Position papers due
 o May 15   - Participants determined and notification sent
 o June 15  - Revised position papers due
 o June 30  - Schedule and working notes sent to all participants
 o July 29  - Workshop held at Boston Hynes Center (AAAI is 7/29 - 8/3)

ORGANIZING COMMITTEE:

 o Eric Mays, IBM T.J. Watson Research Center (emays@ibm.com)
 o Tim Finin, Unisys Center for Advanced Info. Technology (finin@prc.unisys.com)
 o Doug Lenat, MCC (lenat@mcc.com)
 o Michael Stonebraker, UC Berkeley (mike@berkeley.edu)
-- 
 Tim Finin                                   finin@prc.unisys.com
 Center for Advanced Information Technology  215-648-2840, 215-648-2288 (fax)
 Unisys, PO Box 517, Paoli, PA 19301         215-386-1749 (home)