Combining Concept Mapping with CBR: Towards Experience-Based
Support for Knowledge Modeling.
Alberto Cañas, David B. Leake and Ana Maguitman.
Proceedings of the Fourteenth International Florida Artificial
Intelligence Research Society Conference. AAAI Press, Menlo
Park, 2001, pp. 286-290. 5 pages.
Knowledge management depends on effective methods for capturing knowledge
in useful forms and making it available when needed. Electronic concept
maps provide a promising representation for knowledge models that can be
developed directly by the experts themselves, but the flexibility of
concept mapping raises questions of how to support the knowledge modeling
process and to standardize its results, in order to facilitate future
examination and re-use. We describe ongoing research on the use of case-
based reasoning methods to support the knowledge modeling process through
proactive retrieval of relevant prior concept maps, in order to provide
suggestions to aid the concept map generation process. The selection of
relevant concept maps relies on an algorithm that combines textual and
topological analysis. We describe the algorithm and present an example that
illustrates concept suggestion procedures in the Mars exploration domain.
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