info:eu-repo/semantics/article
Neural Networks for the Web Services Classification
Date
2020-01-07Registration in:
17426588
10.1088/1742-6596/1432/1/012076
17426596
Journal of Physics: Conference Series
2-s2.0-85079091175
SCOPUS_ID:85079091175
0000 0001 2196 144X
Author
Silva, Jesús
Senior Naveda, Alexa
Solórzano Movilla, José
Niebles Núẽz, William
Hernández Palma, Hugo
Institutions
Abstract
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.