semantic distance of concepts within a unified framework in the biomedical domain
This paper presents a cross-ontology approach, as an extension of the Cluster-Based approach, to measure semantic distance between concepts within single ontology or between concepts dispersed in multiple ontologies in a unified framework in the biomedical domain. The experimental results (with ~0.81 correlation with human scores) confirmed that the proposed approach is effective and has great potential in measuring semantic distance using multiple ontologies in a unified framework.
semantic distance ontology semantic similarity bioinformatics