The expansion of image information using ontologies to enhancing the efficiency of data retrieval tasks

Tracking #: 3728-4942

This paper is currently under review
Authors: 
Martina Radilova
Patrik Kamencay
Roberta Hlavata
Slavomir Matuska

Responsible editor: 
Agnieszka Lawrynowicz

Submission type: 
Full Paper
Abstract: 
This paper explores the enhancement of image information descriptions using ontologies to improve the efficiency of data retrieval tasks. Initially, the paper reviews current methods of describing image information in databases, private servers, and web documents. Based on this review, we propose an improved approach that provides more accurate and detailed descriptions. Our proposed method involves the use of a custom-designed ontology specifically created to semantically describe image information in web documents. This ontology enables a richer and more nuanced representation of image data, facilitating better understanding and retrieval. Additionally, we envision integrating these semantic descriptions with image information derived from deep learning techniques, creating a comprehensive and unified description. The proposed approach aims to significantly enhance the accuracy and efficiency of data retrieval in both databases and web search engines.
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Under Review