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Summary: IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART C: APPLICATIONS AND REVIEWS 1
Measuring Semantic Similarity Between Biomedical
Concepts Within Multiple Ontologies
Hisham Al-Mubaid, Member, IEEE, and Hoa A. Nguyen, Member, IEEE
Abstract--Most of the intelligent knowledge-based applications
contain components for measuring semantic similarity between
terms. Many of the existing semantic similarity measures that use
ontology structure as their primary source cannot measure seman-
tic similarity between terms and concepts using multiple ontologies.
This research explores a new way to measure semantic similarity
between biomedical concepts using multiple ontologies. We propose
a new ontology-structure-based technique for measuring semantic
similarity in single ontology and across multiple ontologies in the
biomedical domain within the framework of Unified Medical Lan-
guage System (UMLS). The proposed measure is based on three
features: 1) cross-modified path length between two concepts; 2) a
new feature of common specificity of concepts in the ontology; and
3) local granularity of ontology clusters. The proposed technique
was evaluated relative to human similarity scores and compared
with other existing measures using two terminologies within UMLS
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