Accurate semantic similarity measurement of biomedical nomenclature by means of fuzzy logic
|J. Martinez-Gil. Accurate semantic similarity measurement of biomedical nomenclature by means of fuzzy logic. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, volume 24, number 2, pages 291-305, DOI 10.1142/S0218488516500148, 4, 2016.|
|Journal||International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems|
Semantic similarity measurement of biomedical nomenclature aims to determine the likeness between two biomedical expressions that use different lexicographies for representing the same real biomedical concept. There are many semantic similarity measures for trying to address this issue, many of them have represented an incremental improvement over the previous ones. In this work, we present yet another incremental solution that is able to outperform existing approaches by using a sophisticated aggregation method based on fuzzy logic. Results show us that our strategy is able to consistently beat existing approaches when solving well-known biomedical benchmark data sets.