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Summary: Semantic Distance of Concepts within a Unified
Framework in the Biomedical Domain
Hisham Al-Mubaid
University of Houston-Clear Lake,
Houston, TX 77058, USA
hisham@uhcl.edu
Hoa A. Nguyen
University of Houston-Clear Lake,
Houston, TX 77058, USA
nguyenh3308@uhcl.edu
ABSTRACT
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 approach was evaluated in the
biomedical domain within the UMLS framework with two
biomedical ontologies (MeSH and SNOMED-CT). We used two
datasets of biomedical terms scored for similarity by human
experts. The experimental results (with ~0.81 correlation with
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