Neural networks for the web services classification

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 ext...

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Autores:
silva d, jesus g
Senior Naveda, Alexa
Solórzano Movilla, José
Niebles Núñez, William
Hernández Palma, Hugo
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/5959
Acceso en línea:
https://hdl.handle.net/11323/5959
https://repositorio.cuc.edu.co/
Palabra clave:
Neural networks
Web services
Artificial neural network
Rights
openAccess
License
CC0 1.0 Universal
Description
Summary: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.