Fuzzy-Aggregation-Semantic-Similarity.pdf (233.1 kB)
CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures
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.