Neural Networks for the Web Services Classification

Silva J.; Senior Naveda A.; Solórzano Movilla J.; Niebles Núẽz W.; Hernández Palma H. · Journal of Physics: Conference Series (2020) · DOI: 10.1088/1742-6596/1432/1/012076

Resumen

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. © Published under licence by IOP Publishing Ltd.

Instituciones: Universidad Peruana de Ciencias Aplicadas