What is it about?
In this work, we present CoTO (Consensus or Trade-Off) a solution based on fuzzy logic that is able to outperform these traditional approaches.
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Why is it important?
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.
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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.
Dr Jorge Martinez-Gil
Software Competence Center Hagenberg GmbH
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This page is a summary of: CoTO: A novel approach for fuzzy aggregation of semantic similarity measures, Cognitive Systems Research, December 2016, Elsevier,
DOI: 10.1016/j.cogsys.2016.01.001.
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