Application of Ontologies in Information Retrieval of Digital Collections with Emphasis on Images

The purpose of this study is to use ontologies in the information retrieval of digital collections with an emphasis on images. The present research is of applied type and has been done by library method and systematic review of resources with an analytical approach. Using this method, the sources were collected around the research axis and selected for a more detailed review, and finally, the sources were reviewed according to specific and systematic instructions. In this method, all research in the field of ontology and its effect on image retrieval has been reviewed. The research findings show that image retrieval techniques, considering the backgrounds, include: text-based image retrieval, content-based image retrieval, composite model image retrieval, and semantic (conceptual) retrieval that used related feedback schemes to improve performance as well as the accuracy of the image retrieval process.Most of the researched studies have emphasized the necessity of using ontologies in digital collections. Therefore, in the current situation, we are moving towards the Semantic Web in order to organize digital images that deal with various structural and linguistic problems such as ambiguities, doubts, and human metaphors for the machine, and the use of ontologies. It is very effective in improving accessibility and retrieval accuracy.