Browsing by Author "Sezen, Arda"
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Item IMAGE ANNOTATION USING DEEP LEARNING AND SEMANTIC WEB TECHNOLOGIES(2022-01-17) Sezen, Arda; Turhan, Çiğdem; Şengül, GökhanIn this thesis, we propose a hybrid solution for the cognitive task of generating image descriptions in the image annotation domain. Previous work on Neural Networks mostly focused on choosing the right labels and/or increasing the number of related labels to depict a picture. However, creating a set of related labels to describe a picture and depicting that picture through sentences are completely different phenomena, structurally, syntactically, and semantically. We present a framework that generates natural language descriptions of images in the sports domain within a controlled environment. Our approach leverages Artificial Intelligence and Ontologies to generate sentence descriptions of images. Our framework presents a novel combination of deep learning models and aligned annotation results derived from the instances of the ontology classes.