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|Title:||FURY: Fuzzy unification and resolution based on edit distance|
|Citation:||IEEE International Symposium on Bio-Informatics and Biomedical Engineering, USA, 8-10 November 2000.|
|Abstract:||We present a theoretically founded framework for fuzzy unification and resolution based on edit distance over trees. Our framework extends classical unification and resolution conservatively. We prove important properties of the framework and develop the FURY system, which implements the framework efficiently using dynamic programming. We evaluate the framework and system on a large problem in the bioinformatics domain, that of detecting typographical errors in an enzyme name database|
|Appears in Collections:||Computer Science|
Dept of Computer Science Research Papers
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