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...
- 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
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. |
---|