Capturing expert knowledge with argumentation: a case study in bioinformatics | Zendy

Benjamin R. Jefferys | Zendy; Lawrence A. Kelley | Zendy; Marek Sergot | Zendy; John Fox | Zendy; Michael J.E. Sternberg | Zendy

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Capturing expert knowledge with argumentation: a case study in bioinformatics

Author(s) -

Benjamin R. Jefferys,

Lawrence A. Kelley,

Marek Sergot,

John Fox,

Michael J.E. Sternberg

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl018

Subject(s) - argumentation theory , computer science , benchmarking , artificial intelligence , source code , interpretation (philosophy) , process (computing) , expert system , recall , machine learning , range (aeronautics) , natural language processing , information retrieval , data mining , programming language , philosophy , linguistics , materials science , epistemology , marketing , business , composite material

The output of a bioinformatic tool such as BLAST must usually be interpreted by an expert before reliable conclusions can be drawn. This may be based upon the expert's experience, additional data and statistical analysis. Often the process is laborious, goes unrecorded and may be biased. Argumentation is an established technique for reasoning about situations where absolute truth or precise probability is impossible to determine.

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