Multi-Layer Web Services Discovery Using Word Embedding and Clustering Techniques

Multi-Layer Web Services Discovery Using Word Embedding and Clustering Techniques

We propose a multi-layer data mining architecture for web services discovery using word embedding and clustering techniques to improve the web service discovery process. The proposed architecture consists of five layers: web services description and data preprocessing; word embedding and representat...

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Bibliographic Details
Main Authors: Waeal J. Obidallah, Bijan Raahemi, Waleed Rashideh
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Data
Subjects:
web services clustering
web services discovery
word embedding
clustering
semantic similarity
syntactic similarity
Online Access:https://www.mdpi.com/2306-5729/7/5/57

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https://www.mdpi.com/2306-5729/7/5/57

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