Capture, Storage and Reuse of Lessons about Information
Resources: Supporting Task-Based Information Search.
David B. Leake, Travis Bauer, Ana Maguitman and David C. Wilson.
Proceedings of the AAAI-00
Workshop on Intelligent Lessons Learned Systems.
5 pages. In press.
Learning how to find relevant information sources is an important part
of solving novel problems and mastering new domains. This paper
introduces work on developing a lessons learned system that supports
task-driven research by (1) automatically storing cases recording
which information resources researchers consult during their
decision-making; (2) using these cases to proactively suggest
information resources to consult in similar future task contexts; and
(3) augmenting existing information resources by providing tools to
support users in elucidating and capturing records of useful
information that they have found, for future reuse. Our approach
integrates aspects of case-based reasoning, ``just-in-time''
task-based information retrieval, and concept mapping. We describe
the motivations for this work and how lessons learned systems for
suggesting research resources complement those that store task
solutions. We present an initial system implementation that
illustrates the desired properties, and close with a discussion of the
primary questions and open issues to address.
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