Hypernormalising the Gene Ontology

Biological and medical research has been relying heavily on the ability to build standardised computational knowledge. In general, the goal is to store, share, query, retrieve, and analyse biological/biomedical experimental data. A standard approach is to use ontology as a computational modelling technique, to provide a common understanding through a semantic network of related concepts. However, recently the ontology development and management process has become more complicated and challenging, especially with ontologies of large scale and with complex domains of knowledge.

In this talk, I will describe my approach to rebuild the Gene Ontology, that addresses the complexity problem through hypernormalisation and patternisation. These techniques simplify the management of the ontology development and its maintenance. I have implemented them programmatically using Tawny-OWL.