Tuscon, AZ, USA
June 7, 2004 to June 11, 2004
Byron Marshall , The University of Arizona, Tucson
Therani Madhusudan , The University of Arizona, Tucson
Concept maps (CM) are informal, semantic, node-link conceptual graphs used to represent knowledge in a variety of applications. Algorithms that compare concept maps would be useful in supporting educational processes and in leveraging indexed digital collections of concept maps. Map comparison begins with element matching and faces computational challenges arising from vocabulary overlap, informality, and organizational variation. Our implementation of an adapted similarity flooding algorithm improves matching of CM knowledge elements over a simple string matching approach.
Concept Mapping, Education, Knowledge Representation
Byron Marshall, Therani Madhusudan, "Element Matching in Concept Maps", JCDL, 2004, Digital Libraries, Joint Conference on, Digital Libraries, Joint Conference on 2004, pp. 186-187, doi:10.1109/JCDL.2004.1336117