Abstract
Case-based reasoning is receiving much attention as a technology
for building knowledge repositories that can be queried for
task-relevant information. Taking the CBR problem-solving model
seriously, however, suggests the value of a much stronger
integration between knowledge management systems and the tasks
that they serve. In this integrated view, knowledge management
systems should be designed to do just-in-time retrieval,
anticipating task-based information needs and satisfying them
automatically before the user requests information, and should
learn unobtrusively by monitoring the user's task performance.
Key issues include how to integrate knowledge access into the
user's problem solving process, how to automatically provide the
user with task-relevant information from multiple sources, and
how to build up knowledge for transmission between task phases
and for longterm storage. This paper describes how these issues
are addressed in the Stamping Advisor, a system to aid the design
of stamped automotive parts. This system automatically presents
the designer with needed information in a natural way, uses CBR
and task-focused information retrieval to access useful
information, and automatically captures relevant information to
support downstream task processes and build its memory of cases.
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