Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/2995
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dc.contributor.authorGilbert, D-
dc.contributor.authorSchroeder, M-
dc.coverage.spatial7en
dc.date.accessioned2009-01-29T15:18:03Z-
dc.date.available2009-01-29T15:18:03Z-
dc.date.issued2000-
dc.identifier.citationIEEE International Symposium on Bio-Informatics and Biomedical Engineering, USA, 8-10 November 2000.en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/2995-
dc.description.abstractWe 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 databaseen
dc.format.extent123817 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherIEEEen
dc.titleFURY: Fuzzy unification and resolution based on edit distanceen
dc.typeConference Paperen
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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