Creating and visualizing fuzzy document classification

Abstract

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 ontologysupported 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.

A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects

“…In consequence, there is FSS for information retrieval too. Some examples are: SIRE2IN [94], which is actually a recommender system for research resources that is supported by fuzzy linguistic modeling; PaleoSearch [95], which deals with paleo-journal articles by content word or ontology-supported browse categories; etc.…”