Version 1
: Received: 21 September 2023 / Approved: 5 October 2023 / Online: 9 October 2023 (08:38:09 CEST)
How to cite:
Ben Salah, M.; Yengui, A.; Neji, M. OnTunAr Ontology for Automated Annotation of Archaeological Images. Preprints2023, 2023100370. https://doi.org/10.20944/preprints202310.0370.v1
Ben Salah, M.; Yengui, A.; Neji, M. OnTunAr Ontology for Automated Annotation of Archaeological Images. Preprints 2023, 2023100370. https://doi.org/10.20944/preprints202310.0370.v1
Ben Salah, M.; Yengui, A.; Neji, M. OnTunAr Ontology for Automated Annotation of Archaeological Images. Preprints2023, 2023100370. https://doi.org/10.20944/preprints202310.0370.v1
APA Style
Ben Salah, M., Yengui, A., & Neji, M. (2023). OnTunAr Ontology for Automated Annotation of Archaeological Images. Preprints. https://doi.org/10.20944/preprints202310.0370.v1
Chicago/Turabian Style
Ben Salah, M., Ameni Yengui and Mahmoud Neji. 2023 "OnTunAr Ontology for Automated Annotation of Archaeological Images" Preprints. https://doi.org/10.20944/preprints202310.0370.v1
Abstract
In recent years, ontology plays an important role in facilitating the semantic description of images which consists of describing the image by a set of words to describe the scene which signifies the belonging of the image. This description specified in several archaeological fields such as cultural, religious objects and heritage objects of France. However, the description of archaeological images is not yet exploited because this field is very diverse. In this article, we present a panel of ontology construction methods as well as archaeological ontologies. Also, we show our own OntunAr ontology to describe Tunisian archaeological images. In addition, we integrate OnTunAr into the automatic annotation of Tunisian archaeological images.
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
