Asim, Muhammad Nabeel, et. al. (2019). The Use of Ontology in Retrieval: A Study on Textual, Multilingual, and Multimedia Retrieval. IEEE Access, VOLUME 7, 2019.
Besser, H. (1997). Image database: the First decade, and the future. In Digital image Access & Retrieval; ed. By p. B. Heidorn and sandore, 11-28.
Borgman, C. L. (1997). Multi-media, multi-cultural and multi-lingual digital libraries: or how do we exchange data in 400 languages?, D-Lib Magazine, available at: http://dlib.ukoln.ac. uk/dlib/june97/06borgman.html (accessed March 2011).
Crane, G. (2006). What do you do with a million books?, D-Lib Magazine, 12(3), available at: www.dlib.org/dlib/march06/crane/03crane.html (accessed March 2011).
Fensel, D. (2001). Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce, Berlin: Springer.
Forsyth, D. A. et al. (1997). Findings Picture of objects in large Collections of image. In: Digetal image Access & Retrieval; ed. By p. b. Heidorn and B. Sandore, 118-139.
Hoque, Enamul, Orland Hoeber, Minglun Gong. (2013). CIDER: Concept-based image diversification, exploration, and retrieval, Information Processing & Management, 49(5), 1122-1138.
Hou, j.; D. Zhang, Z. Chen, L. Jiang, H. Zhang, and X. Qin. (2010). Web image search by automatic image annotation and translation, in Proc. 17th Int. Conf. Syst., Signals Image Process. (IWSSIP), 105–108.
Huang, Z.C.; P. P. Chan, W. W. Ng, and D. S. Yeung. (2010). Content-based image retrieval using color moment and gabor texture feature, in Proc. Int. Conf. Mach. Learn. (ICMLC), vol. 2, 719–724.
Hui , Lu. (2010). A Relevance Feedback System for CBIR with Long-Term Learning, Proceeings of the 2010 International Conference on Multimedia.
Information Networking and Security (MINES '10), Washington, DC, USA,
Jia, Baoxian; Meng, Bin; Zhang, Wunong & Liu, Jia. (2020). Query Rewriting and Semantic Annotation in Semantic-Based Image Retrieval under Heterogeneous Ontologies of Big Data.
Traitement du Signal, 37(1), February, 101-105, Journal homepage:
http://iieta.org/journals/ts
Kruk, Sebastian Ryszard et. al. (2006). The Role of Ontologies in Semantic Digital Libraries. publication at:
https://www.researchgate.net/ publication/ 242734216.
- Kurtz, C.; A. Depeursinge, S. Napel, C. F. Beaulieu, and D. L. Rubin. (2014). On combining image-based and ontological semantic dissimilarities for medical image retrieval applications, Med. Image Anal., 18(7), 1082–1100.
Manzoor, Umar; et. al. (2015). Semantic Image Retrieval: An Ontology Based Approach, (IJARAI) International Journal of Advanced Research in Artificial Intelligence, 4(4).
Mezaal Shati, Narjis; khalid Ibrahim, Noor; Mohammed Hasan, Taha. (2020). A Review of Image Retrieval Based on Ontology model, Journal of Al-Qadisiyah for Computer Science and Mathematics, 12(1), 10–14.
Mostafa, j. (1941). Digital image representation and access. Annual Review of information Science and technology, 29, 91-135.
Miriam, Fernández, et al. (2011). Semantically enhanced Information Retrieval: an ontology-based approach. Web Semantics: Science, Services and Agents on the World Wide Web, 9(4), 434-452.
Müller, H. (2010).Text-based (image) retrieval, Tech. Rep.
Ogle, v. e. & m. Stonebraker. (1995). Chabot: Retrieval frome a relational database of image. Computer, 28(9), 40-48.
Orbach, B. (1990). So that others may see: tools for cataloging still image. Cataloging & classification Quarterly, 11(3/4), 163-191.
Picard, R. W. & Minka, T. P. (1995). Vision Texture for annotation. Multimedia System, 3, 3-14.
Podder, D.; J. Mukherjee, S. M. Aswatha, J. Mukherjee, and S. Sural. (2018). Ontology-driven content-based retrieval of heritage images, in Heritage Preservation. Singapore: Springer, 143–160.
Poslad, Stefan; Kraisak Kesorn. (2014). A Multi-Modal Incompleteness Ontology model (MMIO) to enhance information fusion for image retrieval, Information Fusion, Volume 20, 225- 241.
Riad, A. M. ; H. K. Elminir, and S. Abd-Elghany. (2012). A literature review of image retrieval based on semantic concept, Int. J. Comput. Appl., 40(11), 12–19, 2012.
Rui, y.; T. S. Huang, and S.-F. Chang. (1999). Image retrieval: Current techniques, promising directions, and open issues, J. Vis. Commun. Image Represent, 10(1), 39–62.
Saenko, K. and T. Darrell. (2009). Unsupervised learning of visual sense models for polysemous words, in Proc. Adv. Neural Inf. Process. Syst., 1393–1400.
Saritha, R.R.; V. Paul, and P. G. Kumar. (2018). Content based image retrieval using deep learning process, Cluster Comput., vol. 21, 1–14.
Shatford, s. (1986). Analyzing the subject of a picture: a theoretical approach cataloging & classification Quarterly, 6(3), 39-62.
Shubhankar Reddy, K.; K. Sreedhar. (2016). Image Retrieval Techniques: A Survey. International Journal of Electronics and Communication Engineering, 9(1), 19-27.
Vallet, D., Fernández, M., Castells, P. (2005). An Ontology-Based Information Retrieval Model. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, 455–470.
Vicente, Agustin (2018). Polysemy and word meaning: an account of lexical meaning for different kinds of content words, See discussions, stats, and author profiles for this publication at:
https://www.researchgate.net/ publication/315492033,.20
Vijayarajan, V. and M. Dinakaran. (2016). mA review on ontology based document and image retrieval methods, Indian J. Sci. Technol, 9(47), 1–13.
Wang, H., Jiang, X., Chia, L.-T., Tan, A.-H. (2010). Wikipedia2on to – Building Concept Ontology Automatically, Experimenting with Web Image Retrieval. Informatica, 34, 297–306 .
Aalishan Karami, Nader; Haji-Zeinolabdini, Mohsen; Radad, Iraj; Ghazi Mirsaeid, Seyedjavad. (2016). Application and role of ontology in biomedical information retrieval systems. Journal of Health and Biomedical Informatics, Medical Informatics Research Center, 4(4), 340-327. [In Persian].
Alipour Hafezi, Mahdi. (2017). Designing a digital library.-Tehran: Organization for studying and compiling humanities books of universities (Samt). First Edition. [In Persian].
Hassanzadeh, Mohammad. (2017). Saving and retrieving information.-Tehran: Samt Publications. (First Edition). [In Persian].
Jafari Powersi, Hamideh; Hariri, Najla; Alipour Hafezi, Mehdi; Bab al-Hawaeji, Fahimeh; Khademi, Maryam. (2019). Improving information meaning retrieval using tagging and ontology. National studies of librarianship and information organization, 31(1). [In Persian].
Kosha, Keyvan. (2015). Digital Libraries. Encyclopedia of Library and Information, 2: 1481-1491. [In Persian].
Lancaster, F. W. (2012). Indexing and abstract writing: theoretical and practical foundations. Translated by Abbas Gilori.-Tehran: Chapar Publishing House, first edition. [In Persian].
Mohammadzadeh Bavili, Sharareh and Mehdi Jovanmard. (2013). Semantic web and meaning-based searches in relational databases, National Conference of Applied Researches in Computer Science and Information Technology (2nd: 2013: Tehran). [In Persian].
Saadat, Rasoul and Mozaffar Cheshme Sohrabi. (2018). Ontology: the basics of formation and its place and application in information science and semantic web. Scientific-specialized quarterly of Islamic knowledge management, 1(2), 148-126. [In Persian].
Safari, Mehdi. (2013). Conceptual modeling in formal representation of knowledge. Knowledge of ontology in artificial intelligence and information systems. Information, 1(4), 74- 104. [In Persian].
Sanatjoo, Azam. (2004). The necessity of revising the structure of thesauruses: investigating the ineffectiveness of thesauruses in the new information environment and the capabilities of ontologies in comparison with it. Book Quarterly; Volume 64, 79-92. [In Persian].
Sharif, Atefeh. (2007). Application of ontologies in knowledge management system. Library and Information Quarterly. 11(3), (consecutive 43), 116-97. [In Persian].