Document Type : Research Paper
Authors
1 PhD Student of Information Retrieval
2 Associate Professor, Shahed University
3 Assistant Professor, Kharazmi University
4 Assistant Professor, Iranian Institute of Information Science and Technology
Abstract
Due to the increase in digital images and easy access to digital cameras, image
processing and retrieval has become one of the most important research fields. The
aim of this article is to examine the research trend in ontology-driven image retrieval.
The statistical population of this study is all research that has been indexed in the
Scopus database by the end of 2024, which is 716 works. Excel, Gephi, BibelExcel and
SPSS software were used to analyze the data, and VOSViewer, Excel, and SPSS
software were used to draw the graphs. The results showed that the keyword ‘image
retrieval’ is in the first place with a frequency of 572. A co-occurrence analysis led to
the formation of six clusters and the hierarchical diagram of four thematic clusters was
formed. It was concluded that scientific maps are a suitable method for displaying. the
increasing growth of scientific activities and organizing the intellectual and scientific
structure that constitutes a thematic domain.
Keywords
Main Subjects
)