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Oxford University Press (OUP), Bioinformatics, 19(28), p. 2502-2508

DOI: 10.1093/bioinformatics/bts471

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Bayesian ontology querying for accurate and noise-tolerant semantic searches

Journal article published in 2012 by Sebastian Bauer, Sebastian Köhler ORCID, Marcel H. Schulz, Peter N. Robinson ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: Ontologies provide a structured representation of the concepts of a domain of knowledge as well as the relations between them. Attribute ontologies are used to describe the characteristics of the items of a domain, such as the functions of proteins or the signs and symptoms of disease, which opens the possibility of searching a database of items for the best match to a list of observed or desired attributes. However, naive search methods do not perform well on realistic data because of noise in the data, imprecision in typical queries and because individual items may not display all attributes of the category they belong to.