Abstract
Synonymy is a relation of equivalence between the meanings of one or more words which allows the use of any word in an equivalent way depending on the context. Given the difficulty of defining the concordance between the meanings, the Natural Language Processing has focused on researching computational techniques that allow defining pairs of synonyms automatically. In this paper, a method based on lexico-syntactic patterns is proposed for the validation of semantic relations of synonymy between ontological concepts. An acronym will be considered a type of synonym within our paper. The results obtained by our proposed method were compared with the criterion of three experts, resulting above 80% of accuracy in the concordances of opinion between what is marked by the experts and the results of our proposed method.
This work is supported by the Sectoral Research Fund for Education with the CONACyT project 257357, and partially supported by the VIEP-BUAP 00478 project.
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Tovar, M., Flores, G., Reyes-Ortiz, J.A., Contreras, M. (2018). Validation of Semantic Relation of Synonymy in Domain Ontologies Using Lexico-Syntactic Patterns and Acronyms. In: Martínez-Trinidad, J., Carrasco-Ochoa, J., Olvera-López, J., Sarkar, S. (eds) Pattern Recognition. MCPR 2018. Lecture Notes in Computer Science(), vol 10880. Springer, Cham. https://doi.org/10.1007/978-3-319-92198-3_20
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