Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource CDADITagger: An Approach Towards Content Based Annotations Driven Image Tagging Integrating Hybrid Semantics Subject The topic of the resource annotations driven; content driven; image annotation; image retrieval; Image tagging Description An account of the resource Considering the rapid growth of multimedia data, especially images, image tagging is considered the most efficient way to organize or retrieve images. The significance of image tagging is growing extensively but the frameworks employed for tagging these images aren't sophisticated. These images aren't properly tagged because of a lack of resources for tagging or manual tagging is a challenging task considering such voluminous data. Already existing frameworks take both the image data and tag-related textual data but ultimately resulted in mediocre or unpalatable performance as they are dataset centered. To overcome these limitations in existing frameworks we proposed an image tagging mechanism, CDADITagger capable of automatically tagging images efficiently and much more reliable compared to existing frameworks. This framework can tackle real-world applications like tagging a new unknown image as the framework isn't powered by dataset alone but is designed to inculcate images from search engines like Google, Bing, etc. to have comprehensive knowledge of real-time data. These images are classified using CNN and tag-related textual data is classified using decision trees for enhanced performance. While tagging images from the classified tags, are sorted based on the semantic computation values, only the top 50% of the instances classified are selected. The tags which are more correlated to the image are ranked and finalized. The proposed semantically inclined framework CDADITagger outshined the well-established frameworks with an accuracy of 96.60% and a precision of 95.84% making it a more reliable approach. 2022 IEEE. Creator An entity primarily responsible for making the resource Maddineni S.; Deepak G.; Sheeba Priyadarshini J. Source A related resource from which the described resource is derived 2022 IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, ICWITE 2022 - Proceedings Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICWITE57052.2022.10176214" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICWITE57052.2022.10176214</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166473497&amp;doi=10.1109%2FICWITE57052.2022.10176214&amp;partnerID=40&amp;md5=b60ab97144807f2ec8876ba63c849359" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166473497&amp;doi=10.1109%2fICWITE57052.2022.10176214&amp;partnerID=40&amp;md5=b60ab97144807f2ec8876ba63c849359</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166546490-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Maddineni S., National Institute of Technology, Department of CSE, Andhra Pradesh, Tadepalligudem, India; Deepak G., Manipal Insitute of Technology Bengaluru, Manipal Academy of Higher Education, Department of CSE, Manipal, India; Sheeba Priyadarshini J., CHRIST (Deemed to Be University), Department of Data Science, Bangalore, India