CoTO: A novel approach for fuzzy aggregation of semantic similarity measures

Autoren Jorge Martínez Gil
Editoren
Titel CoTO: A novel approach for fuzzy aggregation of semantic similarity measures
Typ Artikel
Journal Cognitive Systems Research
DOI 10.1016/j.cogsys.2016.01.001
Monat February
Jahr 2016
SCCH ID# 1607
Abstract

Semantic similarity measurement aims to determine the likeness between two text expressions that use different lexicographies for representing the same real object or idea. There are a lot of semantic similarity measures for addressing this problem. However, the best results have been achieved when aggregating a number of simple similarity measures. This means that after the various similarity values have been calculated, the overall similarity for a pair of text expressions is computed using an aggregation function of these individual semantic similarity values. This aggregation is often computed by means of statistical functions. In this work, we present CoTO (Consensus or Trade-Off) a solution based on fuzzy logic that is able to outperform these traditional approaches.