Neural networks for the web services classification
Artículo de revista
2020
Journal of Physics: Conference Series
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.
- Artículos científicos [3154]
Descripción:
Neural Networks for the Web Services Classification.pdf
Título: Neural Networks for the Web Services Classification.pdf
Tamaño: 664.7Kb
PDFLEER EN FLIP
Descripción: Neural Networks for the Web Services Classification.pdf
Título: Neural Networks for the Web Services Classification.pdf
Tamaño: 1.468Mb
PDFLEER EN FLIP
Título: Neural Networks for the Web Services Classification.pdf
Tamaño: 664.7Kb
PDFLEER EN FLIP
Descripción: Neural Networks for the Web Services Classification.pdf
Título: Neural Networks for the Web Services Classification.pdf
Tamaño: 1.468Mb
PDFLEER EN FLIP
El ítem tiene asociados los siguientes ficheros de licencia: