Aiding Knowledge Capture by Searching for Extensions of
David B. Leake, Ana Maguitman, Thomas Reichherzer, Alberto
Cañas, Marco Carvalho, Marco Arguedas, Sofia Brenes, and Tom Eskridge.
Proceedings of the Second International Conference on Knowledge
Capture (K-Cap 2003). ACM Press. 10 pages. In press.
Electronic concept mapping tools empower experts to play an active
role in the knowledge capture process, and provide a medium for
building richly connected multimedia knowledge models---sets of
linked concept maps and resources about a particular domain.
Knowledge models are intended to be used as a means for sharing
knowledge among humans, not as carefully-crafted knowledge bases upon
which machines will be performing inference. However, users must still
confront the questions of what to include in a concept map and which
concept maps to include in a knowledge model. This paper describes
ongoing research on methods to provide content-based support to users
as they extend concept maps by adding concepts and propositions, and
as they select topics for new maps. The goal is to provide
scaffolding for experts as they build their own concept maps, link
their maps to others', and decide how to extend their knowledge
models. The paper presents three approaches which start from a
concept map under construction and mine related information---both
from prior concept maps, and from the web---to propose information to
aid the user's knowledge capture and knowledge construction. The
paper begins with a brief summary of the concept mapping process and
the CmapTools concept mapping software. It then presents three types
of implemented suggesters, to suggest concepts, propositions, concept
maps, and new topics to aid experts using the CmapTools, and describes
preliminary experiments to assess their performance. It closes with a
discussion of next steps for testing and refining these methods.
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