This document discusses an ontology project at the University of Bristol. It addresses issues with representing research information, which changes frequently. The project uses a combination of ontologies like FOAF, Bio, and Dcterms to model "Things" like people and publications. Context about these Things, like time periods of validity, is represented using named graphs. The current implementation stores this information in a Fedora object store with RDF serialization. The project aims to gather relevant domain taxonomies and provide APIs for researchers to maintain them, taking a "Frankenstein" approach of combining relevant standards. It notes some design flaws of the CERIF interchange format compared to the linked data approach taken.