Application of Ontology Using the Protégé Editor: An Applied Study in Semantic Knowledge Organization and Representation
DOI:
https://doi.org/10.59992/IJSR.2026.v5n1p10Keywords:
Knowledge Management, Knowledge Organization, Ontology, Protégé, Semantic Web, Semantic Representation, Knowledge Management SystemsAbstract
This study aims to analyze the role of the Protégé program as a supportive tool for organizing and representing semantic knowledge within the framework of information science and knowledge management, in light of the limited number of Arabic studies that have examined it from the perspective of knowledge organization and linked its technical features to knowledge management processes. The study adopts a documentary approach through a review of the relevant scientific literature on ontologies, the Semantic Web, and ontology development tools. In addition, the content analysis method is employed in the applied component to analyze the outputs of using Protégé, through the construction of a simplified ontological model using Protégé (version 5.6.7).
The applied component focuses on testing the extent to which a set of criteria derived from systems engineering literature, as proposed by Uschold and Gruninger (1996), namely specification, reliability, and reusability, can be applied to the outputs of the program, with the aim of evaluating its effectiveness in organizing and representing knowledge. The findings indicate that ontology constitutes a central tool for organizing and representing knowledge within intelligent environments, and that Protégé provides a flexible and structured environment for ontology development. It also supports the representation of semantic relationships between concepts through tools for class creation, property and relationship definition, and the use of logical reasoning engines to verify consistency.
In light of these findings, the study concludes that Protégé represents a robust application environment for enhancing the practical dimension of ontology in the context of knowledge organization and representation. It further emphasizes the importance of employing Protégé within an integrated framework alongside other knowledge management tools and technologies, while paying attention to linguistic and technical limitations when applying it in diverse organizational and institutional contexts.
References
أولًا: المراجع العربية:
1. الأكلبي، علي بن ذيب، وعارف، محمد جعفر. (2015). دور الأنطولوجيا في دعم محركات البحث الدلالي في البيئة العربية. مجلة مكتبة الملك فهد الوطنية، 21(1)، 193-226. https://search.emarefa.net/detail/BIM-803880
2. بامفلح، فاتن سعيد (2016). إدارة المعرفة وتقنياتها: الاسس والتطبيقات -الرياض: مكتبة الملك عبدالعزيز العامة.
3. بامفلح، فاتن سعيد (2022). استرجاع المعرفة في ظل التطبيقات الذكية -ط1 -القاهرة: الدار المصرية اللبنانية.
4. الخزاعي، محمد رده، والسريحي، حسن بن عواد. (2019). الخارطة المعرفية لرؤية السعودية 2030 باستخدام الأنطولوجيا. مجلة دراسات المعلومات، 22، 13-32. مسترجع من http://search.mandumah.com/Record/1084156
5. رفاعي، آية رمضان سيد. (2021). أنطولوجيا الويب الدلالي ودورها في التغلب على فوضى وعشوائية المعلومات. المجلة العلمية لكلية الآداب – جامعة أسيوط، (77) 26، 255-.280 https://doi.org/10.21608/aakj.2021.286268
6. فرج، أحمد محمد. (2015). أنطولوجيا الويب الدلالي ودورها في تعزيز المحتوى الرقمي: دراسة في المفاهيم والبنية الهيكلية والخدمات التفاعلية في البوابات الدلالية للتعلم الإلكتروني. مجلة بحوث المكتبات والمعلومات، 15(2)، 1-30.
https://www.researchgate.net/publication/313859831
7. النشرتي، مؤمن سيد. (2012). محركات البحث الدلالية على الشبكة العنكبوتية: دراسة مسحية تحليلية لوضع مواصفات محركات بحث دلالية عربية. القاهرة: كلية الآداب، جامعة القاهرة.
8. الهزاني، نورة بنت ناصر. (2011). مفهوم وبنية الويب الدلالي. مجلة المعلوماتية، العدد الخامس والثلاثون، 57-67. https://www.researchgate.net/publication/362321582
9. الويسي، ياسين حسين علوان. (2019). الأنطولوجيا: في المصطلح والمفهوم والاستعمال الفلسفي. الطبعة الأولى. بيروت، لبنان: العتبة العباسية المقدسة، المركز الإسلامي للدراسات الاستراتيجية.
ثانيًا: المراجع الأجنبية:
1. Abdulsalm, A., Prakash, A., & Rizvi, S. (2021). Ontology-based semantic integration for knowledge sharing in the semantic web. Journal of Information System and Technology Management, 6(22), 148–157. https://doi.org/10.35631/JISTM.622012.
2. Alatrish, E. S. (2013). Comparison some of ontology editors. Management Information Systems, 8(2), 18–24. https://www.researchgate.net/publication/311100273.
3. Auna, H. S., Prasetya, N. I., Surur, A. M., Ulfa, S., Soepriyanto, Y., & Salleh, S. M. (2024). Ontology design of a modern learning environment and modern pedagogy using Protégé software. Indonesian Journal of Multidisciplinary Educational Research, 2(1), 47–66. https://doi.org/10.30762/ijomer.v2i1.2755.
4. Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The semantic web. Scientific American, 284(5), 34–43. https://doi.org/10.1038/scientificamerican0501-34.
5. Ezekiel, U. G., Ozuomba, S., & Kalu, C. (2023). Development of Protégé-based ontology for e-learning semantic web applications. Journal of Multidisciplinary Engineering Science Studies (JMESS), 9(2), 5020–5028. https://www.researchgate.net/publication/372101664.
6. Gennari, J.H., Musen, M.A., Fergerson, R.W., Grosso, W.E., Crubézy, M., Eriksson, H., Noy, N., & Tu, S.W. (2003). The evolution of Protégé: an environment for knowledge-based systems development. Int. J. Hum. Comput. Stud., 58. 89-123.
7. Gómez-Pérez, A., Fernández-López, M., & Corcho, O. (2004). Ontological engineering with examples from the areas of knowledge management, e-commerce and the semantic web. Springer.
8. Gruber, T. R. (1993). A translation approach to portable ontology specifications. Knowledge Acquisition, 5(2), 199–220. https://doi.org/10.1006/knac.1993.1008.
9. Islam, M. F., Mosier, J., & Subbian, V. (2025). NIRS: An ontology for non-invasive respiratory support in acute care. arXiv. https://doi.org/10.48550/arXiv.2507.19992.
10. Muñoz-García, A., Lagos-Ortiz, K., Vergara-Lozano, V., Salavarria-Melo, J., Real-Aviles, K., & Vera-Lucio, N. (2016). Ontological model of knowledge management for research and innovation. In R. Valencia-García, K. Lagos-Ortiz, G. Alcaraz-Mármol, J. del Cioppo, & N. Vera-Lucio (Eds.), Technologies and Innovation. CITI 2016. Communications in Computer and Information Science (Vol. 658, pp. 47–59). Springer. https://doi.org/10.1007/978-3-319-48024-4_5.
11. Musen, M. A., Noy, N. F., Shah, N. H., Whetzel, P. L., Chute, C. G., Story, M. A., & Smith, B. (2015). The Protégé project: A look back and a look forward. AI Matters, 1(4), 4–12. https://doi.org/10.1145/2757001.2757003.
12. Roussey, C., Pinet, F., Kang, M. A., & Corcho, O. (2011). An introduction to ontologies and ontology engineering. In C. Roussey, F. Pinet, M. A. Kang, & O. Corcho (Eds.), Ontologies in Urban Development Projects (pp. 9–38). Springer. https://doi.org/10.1007/978-0-85729-724-2_2.
13. Sanches, H. M., & Gomes, M. M. F. (2024). Protégé 5.6.4: Ferramenta para criação de ontologia em Web Ontology Language (OWL). Revista FT, 29(141). https://doi.org/10.69849/revistaft/ar10202412240029.
14. Stanford Center for Biomedical Informatics Research. (n.d.). Protégé ontology editor. Stanford University. Retrieved Date: October 31, 2025, from https://protege.stanford.edu.
15. Sure, Y., Staab, S., & Studer, R. (2003). On-To-Knowledge methodology. In S. Staab & R. Studer (Eds.), Handbook on ontologies (pp. 117–132). Springer.
16. Tu, S. W., Eriksson, H., Gennari, J. H., Shahar, Y., & Musen, M. A. (1995). Ontology-based configuration of problem-solving methods and generation of knowledge-acquisition tools: Application of PROTEGE-II to protocol-based decision support. Artificial Intelligence in Medicine, 7(3), 257–289. https://doi.org/10.1016/0933-3657(95)00006-R.
17. Uschold, M., & Gruninger, M. (1996). Ontologies: principles, methods and applications. Knowledge Engineering Review, 11(02), 93–136. https://doi.org/10.1017/S0269888900007797.