[1. BCBS (n.d.). The Basel Committee – Overview. Retrieved September 2019. https://www.bis.org/bcbs/index.htm]Search in Google Scholar
[2. BCBS (n.d.). Principles for Effective Risk Data Aggregation and Risk Reporting. Retrieved September 2019. https://www.bis.org/publ/bcbs239.pdf]Search in Google Scholar
[3. Prorokowski, L., H. Prorokowski. Solutions for Risk Data Compliance under BCBS 239. – Journal of Investment Compliance, 2 November 2015, pp. 66-77.10.1108/JOIC-01-2015-0015]Search in Google Scholar
[4. Chandrasekaran, B., J. Josephson, R. Benjamins. What Are Ontologies, and Why Do We Need Them? – Intelligent Systems and Their Applications, IEEE, Vol. 14, 1999, pp. 20-26.10.1109/5254.747902]Search in Google Scholar
[5. Gruber, T. A Translation Approach to Portable Ontology Specifications. – Knowledge Acquisition, 1993, pp. 199-220. DOI:10.1006/knac.1993.1008.10.1006/knac.1993.1008]Search in Google Scholar
[6. Cruz, I., H. Xiao, AdvisLab. The Role of Ontologies in Data Integration. – Jounal of Engineering Intelligent Systems, Vol. 13, 2005, No 4, pp. 1-18.]Search in Google Scholar
[7. Gagnon, M. Ontology-Based Integration of Data Sources. – In: Proc. of 10th International Conference on Information Fusion, Quebec, Canada, 2007, pp. 1-8.10.1109/ICIF.2007.4408086]Search in Google Scholar
[8. Subirats, L., R. Gil, R. García. Personalization of Ontologies Visualization: Use Case of Diabetes. – In: G. Alor-Hernández, J. Sánchez-Cervantes, A. Rodríguez-González, R. Valencia-García, Eds. Current Trends in Semantic Web Technologies: Theory and Practice, Vol. 815, 2019, pp. 3-24.10.1007/978-3-030-06149-4_1]Search in Google Scholar
[9. Dwivedi, S., A. Kumar. Development of University Ontology for aSPOCMS. – Journal of Emerging Technologies in Web Intelligence, Vol. 5, August 2013, No 3, pp. 213-221.10.4304/jetwi.5.3.213-221]Search in Google Scholar
[10. Forbes, D., P. Wongthongtham, J. Singh, S. Thompson. Ontology Supported Assistive Communications in Healthcare. – Communications of the Association for Information Systems, Vol. 34, 2014, pp. 297-322.10.17705/1CAIS.03414]Search in Google Scholar
[11. The Gene Ontology Consortium. The Gene Ontology Resource: 20 Years and Still GOing Strong. – In: Nucleic Acids Res., 2018. DOI:10.1093/nar/gky1055.10.1093/nar/gky1055632394530395331]Search in Google Scholar
[12. Yan, H., F. Zhang, B. Liu. Granular Computing Based Ontology Learning Model and Its Applications. – Cybernetics and Information Technologies, Vol. 16, 2016, No 4, pp. 29-44.]Search in Google Scholar
[13. Kontopoulos, E., G. Martinopoulos, D. Lazarou, N. Bassiliades. An Ontology-Based Decision Support Tool for Optimizing Domestic Solar Hot Water System Selection. – Journal of Cleaner Production, Vol. 112, 2016, No 5, pp. 4636-4646.10.1016/j.jclepro.2015.08.088]Search in Google Scholar
[14. Monnin, P., C. Jonquet, J. Legrand, A. Napoli. PGxO: A Very Lite Ontology to Reconcile Pharmacogenomic Knowledge Units. – PeerJ Preprints 5:e3140v1., 2017. https://doi.org/10.7287/peerj.preprints.3140v110.7287/peerj.preprints.3140v1]Search in Google Scholar
[15. Brüggemann, S. Rule Mining for Automatic Ontology Based Data Cleaning. – In: Y. Zhang, G. Yu, E. Bertino, U. Xu, Eds. APWeb 2008. 4976, Berlin, Heidelberg, Springer, 2008, pp. 522-527. https://doi.org/10.1007/978-3-540-78849-2_5210.1007/978-3-540-78849-2_52]Search in Google Scholar
[16. Buranarach, M., T. Supnithi, Y. Thein, T. Ruangrajitpakorn, T. Rattanasawad, K. Wongpatikaseree, A. O. Lim, Y. Tan, A. Assawamakin. OAM: An Ontology Application Management Framework for Simplifying Ontology-Based Semantic Web Application Development. – International Journal of Software Engineering and Knowledge Engineering, Vol. 26, 2016, No 1, pp. 115-145.10.1142/S0218194016500066]Search in Google Scholar
[17. Eine, B., M. Jurisch, W. Quint. Ontology-Based Big Data Management. – Systems, Vol. 5, 2017, No 45.10.3390/systems5030045]Search in Google Scholar
[18. Michael, A., R. Kothandaraman, K. Kaliyan. Providing Ontology-Based Access Control for Cloud Data by Exploiting. – International Journal of Intelligent Engineering and Systems, Vol. 12, 2019, No 3, pp. 280-291. DOI:10.22266/ijies2019.0630.27.10.22266/ijies2019.0630.27]Search in Google Scholar
[19. EDM Council. The Financial Industry Business Ontology (FIBO). 2008. Retrieved Sptember 2019. https://spec.edmcouncil.org/fibo/index.html]Search in Google Scholar
[20. Wisnosky, D. The FIBO Leadership Team. FIBO™ Build, Test, Deploy and Maintain Methodology. 30 September 2017. Retrieved 30 September 2019, from EDM Council. https://spec.edmcouncil.org/fibo/doc/20170930_FIBO_BTDM.pdf]Search in Google Scholar
[21. Abdelghany, A. S., N. R. Darwish, H. A. Hefni. An Agile Methodology for Ontology Development. – International Journal of Intelligent Engineering and Systems, Vol. 12, 2019, No 2, pp. 170-181. DOI:10.22266/ijies2019.0430.17.10.22266/ijies2019.0430.17]Search in Google Scholar
[22. Axelsson, J., E. Papatheocharous, J. Nyfjord, M. Törngren. Notes on Agile and Safety-Critical Development. – ASM SIGSOFT Software Engeneering, Vol. 41, March 2016, No 2, pp. 23-26.10.1145/2894784.2894796]Search in Google Scholar
[23. The Gene Ontology Consortium (n.d.). Gene Ontology Resource. Retrieved September 2019. http://geneontology.org/]Search in Google Scholar
[24. Fox, M., J. Chionglo, F. Fadel (n.d.). TOVE Project. Retrieved September 2019. http://www.eil.utoronto.ca/projects/tove-project/]Search in Google Scholar
[25. Bennett, M. Providing Conceptual Disambiguation for Terms in Reusable Ontologies: A Case Study from FIBO. – In: 6th International Workshop on Ontologies and Conceptual Modeling (Onto.Com), 2205. Cape Town, South Africa, 2018.]Search in Google Scholar
[26. Zaino, J. Banking on FIBO: Financial Institutions Turn to Semantic Standard. 2016. Retrieved September 2019. https://www.dataversity.net/banking-fibo-financial-institutions-turn-standard-value-compliance/]Search in Google Scholar
[27. ElHassouni, J., A. ElQadi, M. Bazzi, M. ElHaziti. Modeling with Ontologies Design Patterns: Credit Scorecard as a Case Study. – Indonesian Journal of Electrical Engineering and Computer Science, Vol. 17, January 2020, No 1, pp. 429-439. DOI:10.11591/ijeecs.v17.i1.10.11591/ijeecs.v17.i1]Search in Google Scholar
[28. Gangemi, A., V. Presutti. Ontology Design Patterns. – In: S. Staab, R. Studer, Eds. Handbook on Ontologies. International Handbooks on Information Systems. Berlin, Heidelberg, Springer, 2009, pp. 221-243.10.1007/978-3-540-92673-3_10]Search in Google Scholar
[29. Ferrario, R. Who Cares about Axiomatization? Representation, Invariance, and Formal Ontologies, Epistemologia. – Epistemologia, Vol. 2, 2006, pp. 323-342. http://www.cnr.it/prodotto/i/69465]Search in Google Scholar
[30. Suppose, P. Heuristics and the Axiomatic Method. – Models and Methods in the Philosophy of Science. – Selected Essays, Vol. 226, pp. 55-65. Preprint. – In: Synthese Library. Studies in Epistemology, Logic, Methodology, and Philosophy of Science, 1993. https://doi.org/10.1007/978-94-017-2300-8_510.1007/978-94-017-2300-8_5]Search in Google Scholar
[31. Krötzsch, M., F. Simancik, I. Horrocks. A Description Logic Primer. ArxIV; Preprint: 2012. arXiv CoRR abs/1201.4089.]Search in Google Scholar
[32. Sarker, M., A. Krisnadhi, P. Hitzler. OWLAx: A Protégé Plugin to Support Ontology Axiomatization through Diagramming. – In: T. Kawamura, H. Paulheim, Eds. Proceedings of the ISWC 2016 Posters & Demonstrations Track Co-Located with 15th International Semantic Web Conference (ISWC’16), Kobe, Japan, 2016.]Search in Google Scholar
[33. PovedaVillalón, M. (n.d.). OOPS! (OntOlogy Pitfall Scanner!). Retrieved September 2019. http://oops.linkeddata.es]Search in Google Scholar
[34. PovedaVillalón, M. Ontology Evaluation: A Pitfall-Based Approach to Ontology Diagnosis. Phd Thesis, Universidad Politécnica de Madrid, Madrid, 2016.]Search in Google Scholar
[35. Parsia, B., N. Matentzoglu, R. Gonçalves, B. Glimm, A. Steigmiller. The OWL Reasoner Evaluation (ORE) 2015 Competition. – Automated Reasoning, 2015. DOI:10.1007/s10817-017-9406-8.10.1007/s10817-017-9406-8604426530069067]Search in Google Scholar
[36. Glimm, B., I. Horrocks, B. Motik, G. Stoilos, Z. Wang. HermiT: An OWL 2 Reasoner. – Automated Reasoning, 2014, pp. 1-25. DOI:10.1007/s10817-014-9305-1.10.1007/s10817-014-9305-1]Search in Google Scholar
[37. Horridge, M., S. Bechhofer. The OWL API: A Java API for OWL. – Semantic Web Journal, Vol. 2, 2011, No 1, pp. 11-21.10.3233/SW-2011-0025]Search in Google Scholar
[38. Blomqvist, E., A. SeilSepour, V. Presutti. Ontology Testing – Methodology and Tool. – In: K. E. Management, Ed. Proc. of 18th International Conference EKAW 2012, Galway, Irland. Berlin, Heidelberg, Springer-Verlag, October 2012, pp. 216-226.10.1007/978-3-642-33876-2_20]Search in Google Scholar
[39. The Apache Software Foundation. Apache Jena – ARQ – A SPARQL Processor for Jena. 2017, Retrieved September 2019. http://jena.apache.org/documentation/query]Search in Google Scholar