Resumen

MADANI, Meghazi Hadj  y  YOUCEF, Aklouf. WSC2RCNN: A Deep Learning Actions-based Classifier for Improved Web Service Discovery. Comp. y Sist. [online]. 2022, vol.26, n.4, pp.1539-1548.  Epub 17-Mar-2023. ISSN 2007-9737.  https://doi.org/10.13053/cys-26-4-4069.

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.

Palabras llave : Web service; service classification; service actions; deep neural network.

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