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Lookup NU author(s): Dr Phillip Lord
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Motivation: Many bioinformatics data resources not only hold data in the form of sequences, but also as annotation. In the majority of cases, annotation is written as scientific natural language: this is suitable for humans, but not particularly useful for machine processing. Ontologies offer a mechanism by which knowledge can be represented in a form capable of such processing. In this paper we investigate the use of ontological annotation to measure the similarities in knowledge content or ‘semantic similarity’ between entries in a data resource. These allow a bioinformatician to perform a similarity measure over annotation in an analogous manner to those performed over sequences. A measure of semantic similarity for the knowledge component of bioinformatics resources should afford a biologist a new tool in their repetoire of analyses. Results: We present the results from experiments that investigate the validity of using semantic similarity by comparison with sequence similarity. We show a simple extension that enables a semantic search of the knowledge held within sequence databases.
Author(s): Lord PW, Stevens RD, Brass A, Goble CA
Publication type: Article
Publication status: Published
Journal: Bioinformatics
Year: 2003
Volume: 19
Issue: 10
Pages: 1275-1283
Print publication date: 01/01/2003
ISSN (print): 1367-4803
ISSN (electronic): 1460-2059
Publisher: Oxford University Press
URL: http://dx.doi.org/10.1093/bioinformatics/btg153
DOI: 10.1093/bioinformatics/btg153
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