Automatic Inference of Terminology Relationships in the Persian Islamic Sciences Thesaurus using Graph Convolutional Networks (GCNs)

Purpose: The present research aims to develop a model for automatically inferring the relationships between terms in the Thesaurus of Islamic Sciences using Graph Convolutional Networks (GCN). By employing new algorithms in the field of deep learning, the research seeks to enhance the efficiency of...

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Bibliographic Details

Published in:	علوم و فنون مدیریت اطلاعات
Main Authors:	Said Abolhasan Nezamdost, Ali Azimi, Amir Jalali, NosratAli Ashrafi Peyman
Format:	Article
Language:	Persian
Published:	University of Qom 2023-09-01
Subjects:	thesaurus relations graph convolutional networks islamic sciences thesaurus machine learning
Online Access:	https://stim.qom.ac.ir/article_2437_d61158d8451dca4617e4d342e0888751.pdf