| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560757 |
| ISSN: | 1405-5546 |
| Autores: | Madani, Meghazi Hadj1 Youcef, Aklouf1 |
| Instituciones: | 1Université des Sciences et de la Technologie Houari Boumediene, Research Laboratory in Informatics Intelligence Mathematics and Applications, Algiers, Alger. Algeria |
| Año: | 2022 |
| Periodo: | Oct-Dic |
| Volumen: | 26 |
| Número: | 4 |
| Paginación: | 1539-1548 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Resumen en inglés | Due to the increasing popularity of Web services and their tremendous number, discovery tasks are shown to be the most important and difficult steps. The difficulty lies in the limited data provided on them, which is, in most cases, a short textual description. Based on these descriptions, many interesting works have been proposed trying to classify them in an efficient way. In this work, we propose a new approach based on deep learning WSC2RCNN that uses Web services descriptions and actions within these descriptions to improve the classification task, which has given promising results and outperforms state-of-the-art approaches using the same data. |
| Disciplinas: | Ciencias de la computación, Ciencias de la computación |
| Palabras clave: | Inteligencia artificial, Procesamiento de datos |
| Keyword: | Artificial intelligence, Data processing |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
