Neural networks for the web services classification

• Autores: Silva, Jesús, Senior Naveda, Alexa, Solórzano Movilla, José, Niebles Núẽz, William, Hernández Palma, Hugo
• Formato: artículo
• Fecha de Publicación: 2020
• Institución: Universidad Peruana de Ciencias Aplicadas
• Repositorio: UPC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorioacademico.upc.edu.pe:10757/652143
• Enlace del recurso: https://doi.org/10.1088/1742-6596/1432/1/012076; http://hdl.handle.net/10757/652143
• Nivel de acceso: acceso abierto
• Materia: Classification (of information); Websites; Automatic classification; Lexical unit; N-grams; Web service description; Word n-grams; Web services; https://purl.org/pe-repo/ocde/ford#5.02.00

This article introduces a n-gram-based approach to automatic classification of Web services using a multilayer perceptron-type artificial neural network. Web services contain information that is useful for achieving a classification based on its functionality. The approach relies on word n-grams extracted from the web service description to determine its membership in a category. The experimentation carried out shows promising results, achieving a classification with a measure F=0.995 using unigrams (2-grams) of words (characteristics composed of a lexical unit) and a TF-IDF weight.