Comprehensive Gene Ontology Mapping Strategies for Improved Biological Inference

Abstract

Lack of sufficient semantic relationships between pairs of terms coming from the three independent Gene Ontology sub-ontologies, that limit the power to provide complex semantic queries and inference services based on it. By integrating non-lexical and lexical learning strategies into GLUE system, we semi-automatically generate six types of one-to-one mapping paths covered almost half of all GO terms. We believe that the comprehensive ontology mapping strategies might be an effective way to bridge the gap between non-lexical and lexical approaches, as well as improve accuracy and coverage.