@article{article_637713, title={A Systematic Mapping Review of Image Annotation Studies for Obtaining Information Retrieval from Images}, journal={Bilişim Teknolojileri Dergisi}, volume={13}, pages={423–434}, year={2020}, author={Sezen, Arda and Turhan, Çigdem}, keywords={anlamsal görüntü açıklaması, görüntü işleme, resim yorumlama}, abstract={<p> <span lang="en-us" style="font-size:10pt;line-height:115%;font-family:Calibri, sans-serif;" xml:lang="en-us">Image annotation concept which aims to obtain and process image metadata from various kinds of images, to achieve meaningful results has become more and more critical in the information society in retrieving information from images. There are many approaches proposed in the literature, however, choosing the most appropriate ones is not an easy task. In this study, the key approaches on image annotation have been investigated through a systematic mapping with an extensive literature review. The novelty of our study is that it represents the first attempt to explore, investigate, map and analyze image annotation studies in literature and to help classify the studies, reveal research gaps, and prepare a visual summary for the research questions presented in this paper. The literature recommends the systematic mapping approach to investigate an area of interest from different perspectives. For this purpose, 95 studies were selected from a total of 404 studies identified. The examination of the literature on the domain shows that the available methods/techniques, tools, metrics, processes, or other technical approaches are not enough to produce a complete solution on their own. The necessity of generating new solutions by combining the proposed techniques and considering interdisciplinary approaches are also suggested. </span> <br /> </p>}, number={4}, publisher={Gazi Üniversitesi}