Browse by author
Lookup NU author(s): Dr Jennifer Warrender, Dr Phillip Lord
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.
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