Creating and visualizing fuzzy document classification
Judith Gelernter, Dong Cao, Raymond Lu, Eugene Fink, and Jaime G. Carbonell
In Proceedings of the IEEE International Conference
on Systems, Man, and Cybernetics, pages 672-679, 2009.
Abstract
Fuzzy classification ranks items by degree rather than assigning them
either within or without of a category. The novelty of our work is in
integrating fuzzy classification algorithms with an interface to visualize
fuzzy results. An advantage of our algorithms' fuzziness is that it
provides additional information per retrieved result that helps in
deciding whether to drill down to the document or skip it. An advantage of
our interface is that it allows users to visualize those differences
quickly. We have created a prototype that allows the retrieval of journal
articles by content word or by ontology-supported browse categories that
can be selected independently or in tandem. Journal articles in our
digital library pertain to paleontology, but techniques demonstrated
viable in indexing and ranking paleo-journal literature should apply to
other knowledge domains with little modification.