Validity of automated inferences in mapping of anatomical ontologies

Abstract

A system for automated prediction and inference of cross-ontology links is presented. External knowledge sources are used to create a primary body of predictions. The structure of the projected super-ontology is then used to automatically infer additional predictions. Probabilistic scores are attached to all of these predictions, allowing them to be filtered using a statistically-selected threshold. Three anatomical ontologies were mapped in pairs, and all the predicted mapping links were individually checked by a manual curator, allowing a closer look at the quality of the chosen prediction procedures, and the validity of the resulting mappings.