DM: 1st Call for Papers for IJCAI-99 Workshop on Automating the

[Sarabjot S. Anand]

Construction of Case Based Reasoners
Date: Thu, 10 Dec 1998 18:03:06 -0000
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Apologies for cross-posting!!
Sarab



IJCAI-99 Workshop on Automating the Construction of Case Based 
Reasoners
1st Call for Papers
Venue: City Conference Center, Stockholm, Sweden
2nd August, 1999

Web Site: http://inchinn.infj.ulst.ac.uk/htdocs/ijcai_workshop.htm
IJCAI Workshops Page: http://www.cs.cmu.edu/~ijcai99
IJCAI Page: http://www.dsv.su.se/ijcai-99/

Case based reasoning (CBR) was presented to the field of 
knowledge-based
systems as a solution to the knowledge acquisition bottleneck and
brittleness, ails from which rule-based systems were known to suffer.
However, CBR systems also require substantial knowledge acquisition 
effort
(e.g. acquiring cases, case vocabulary, retrieval knowledge, 
adaptation
knowledge). Acquiring this knowledge for CBR systems has 
traditionally been
heavily dependent on the availability of a domain expert. Today most
organisations have large operational data sets that, to varying 
degrees,
model various real-world processes. The question arises: Can knowledge
implicitly contained within these databases be harnessed using data 
mining
techniques to reduce the domain expert dependence present in case base
development?

Data mining is considered to be one of the ten most important 
technologies
(Gartner Group Inc, January 1998), in terms of the potential impact on
industry and wide-ranging applications. While CBR and data mining make
similar assumptions of regularity, typicality and consistency, they 
are
largely complementary technologies. Data mining focuses on the 
process of
discovering knowledge while CBR focuses on the management and 
application of
knowledge through representation, retrieval, re-use, revision and 
retention
of case knowledge. With major strides being made in knowledge 
integration
within CBR systems, CBR may be viewed as a general knowledge 
management and
problem solving tool. Knowledge management has, to date, not been 
central to
data mining research. Keeping this in mind, this workshop focuses on 
how CBR

and data mining can support each other. In particular, how data 
mining can
aid the construction on case based reasoners.

Data mining may be used to support the acquisition of knowledge 
required to
construct the case-base as well as perform the four CBR functions of
retrieve, reuse, revise and retain in a number of ways. However, to 
do so, a
number of research issues must be addressed. These issues will form 
the
primary focus of the workshop and include (not exhaustively)

Representation
A database is not necessarily a case base; what characterises a case 
base?
How do you identify a case?
To what extent can recent developments within data mining contribute 
to
automated case base construction (authoring)?
How can case extraction (from, for example, documents, structured 
logs, the
World-Wide Web) be supported?

Retrieval
How is similarity measured between two cases?
What is the best structure for individual cases and the case base as a
whole?
Can suitable indexing regimes be elicited from data about the domain?

Re-use
What are the sources for adaptation knowledge?
Can the discovery of useful adaptation knowledge be automated?

Revise
How can feedback from the application of  solved cases be used to 
provide
useful knowledge for future applications of the CBR system?
How can this feedback be used in future applications of the CBR 
system?

Retention
How do we keep case knowledge up-to-date i.e. learning phase in CBR?

Submission Requirements
Authors should submit original papers no longer than 4 pages formatted
according to IJCAI format. Electronic submissions are encouraged in
postscript or pdf format to ss.anand@ulst.ac.uk on or before the 
submission
deadline of 1 April, 1999.

Proceedings
Papers accepted for the workshop will be published as a separate IJCAI
working notes series, made available on the day of the workshop to
attendees. In keeping with the fact that IJCAI encourages the 
production of
publications based on the workshops, we will endeavour to follow up 
the
workshop with a special issue on the topic in an international 
journal.

Important Dates
1 April, 1999: Submission deadline
1 May, 1999: Acceptance/Rejection Notifications
24 May, 1999: Camera Ready Papers Deadline
2 August, 1999: Workshop

Workshop Participation
The workshop will be kept small, with a maximum of 40 participants.
Preference will be given to active participants selected on the basis 
of
their submitted papers. According to IJCAI rules, all workshop 
attendees
must register for the main conference.

Workshop Organising Committee
Sarabjot Singh Anand, School of Information and Software Engineering,
University of Ulster, Newtownabbey, County Antrim, Northern Ireland 
BT37 0QB
E-mail: ss.anand@ulat.ac.uk

Agnar Aamodt, Department of Computer and Information Science, Faculty 
of
Physics, Informatics and Mathematics, Norwegian University of Science 
and
Technology, N-7034, Trondheim, Norway, E-mail: 
agnar.aamodt@idi.ntnu.no

David W. Aha, Navy Center for Applied Research in AI, Naval Research
Laboratory, Code 5510, 4555 Overlook Avenue, SW,  Washington, DC 
20375-5337,
USA, E-mail: aha@aic.nrl.navy.mil


Programme Committee
Klaus-Dieter Althoff, Fraunhofer Institute for Experimental Software
Engineering, Germany
Karl Branting, University of Wyoming
Werner Dubitzky, University of Ulster, Northern Ireland
Mark Keane, Trinity College, Dublin, Republic of Ireland
Hiroaki Kitano, Sony Computer Science Laboratory Inc, Japan
David Leake Indiana University, USA
David Patterson, University of Ulster, Northern Ireland
Enric Plaza, Spanish Scientific Research Council, Barcelona, Spain