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Scaffolding the Mitochondrial Disease Ontology from extant knowledge sources

Lookup NU author(s): Dr Jennifer Warrender, Dr Phillip LordORCiD

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This is the final published version of a report that has been published in its final definitive form by School of Computing Science, University of Newcastle upon Tyne, 2015.

For re-use rights please refer to the publisher's terms and conditions.

Abstract

Bio-medical ontologies can contain a large number of concepts. Often many of these concepts are very similar to each other, and similar or identical to concepts found in other bio-medical databases. This presents both a challenge and opportunity: maintaining many similar concepts is tedious and fastidious work, which could be substantially reduced if the data could be derived from pre-existing knowledge sources. In this paper, we describe how we have achieved this for an ontology of the mitochondria using our novel ontology development environment, the Tawny-OWL library.

Publication metadata

Author(s): Warrender J, Lord P

Publication type: Report

Publication status: Published

Series Title: School of Computing Science Technical Report Series

Year: 2015

Pages: 8

Print publication date: 01/05/2015

Report Number: 1465

Institution: School of Computing Science, University of Newcastle upon Tyne

Place Published: Newcastle upon Tyne

URL: http://www.cs.ncl.ac.uk/publications/trs/papers/1465.pdf

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