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Ontology-based semantic similarity: A new feature-based approach
2012
Expert systems with applications
Estimation of the semantic likeness between words is of great importance in many applications dealing with textual data such as natural language processing, knowledge acquisition and information retrieval. Semantic similarity measures exploit knowledge sources as the base to perform the estimations. In recent years, ontologies have grown in interest thanks to global initiatives such as the Semantic Web, offering an structured knowledge representation. Thanks to the possibilities that ontologies
doi:10.1016/j.eswa.2012.01.082
fatcat:xc5prdrub5grdl3qitwd3a37fe