An enhanced graph-oriented approach for change management in distributed biomedical ontologies and linked data

This paper reports the summary and results of our research on providing a graph oriented formalism to represent, analyze and validate the evolution of bio-ontologies, with emphasis on the FungalWeb Ontology. In this approach Category theory along with rule-based hierarchical distributed (HD) graph transformation have been employed to propose a more specific semantics for analyzing ontological changes and transformations between different versions of an ontology, as well as tracking the effects of a change in different levels of abstractions.