FURY: Fuzzy unification and resolution based on edit distance

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2995

Full metadata record

DC Field	Value	Language
dc.contributor.author	Gilbert, D	-
dc.contributor.author	Schroeder, M	-
dc.coverage.spatial	7	en
dc.date.accessioned	2009-01-29T15:18:03Z	-
dc.date.available	2009-01-29T15:18:03Z	-
dc.date.issued	2000	-
dc.identifier.citation	IEEE International Symposium on Bio-Informatics and Biomedical Engineering, USA, 8-10 November 2000.	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/2995	-
dc.description.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	en
dc.format.extent	123817 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.title	FURY: Fuzzy unification and resolution based on edit distance	en
dc.type	Conference Paper	en
Appears in Collections:	Computer Science Dept of Computer Science Research Papers

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