Concept maps are visual representations of knowledge,
widely used in educational contexts. We use the term ”Concept
Map Mining” (CMM) to refer to the automatic extraction
of Concept Maps from documents such as essays. The
principles behind CMM have been proposed for applications
such as: information extraction in specific knowledge
domains, the measurement of student understanding and
misconceptions based on written essays, and as a preliminary
step to creating domain ontologies.
Previous work on the automatic extraction of concept
maps present two problems: 1) overly simplistic and varying
definitions of concept maps, and 2) the lack of an evaluation
framework that can be used to measure the quality
of the generated maps. In this paper, we propose a formal
definition of the term CMM, with a focus on educational applications.
We also propose an evaluation framework that
will allow other researchers to share a common ground to
evaluate the performance of CMM methods.
Authors: Jorge J. Villalon and Rafael A. Calvo
Event: SF08: Speed Papers