Commenced in January 2007
Paper Count: 29978
Ontology-Driven Generation of Radiation Protection Procedures
Abstract:In this article, we present the principle and suitable methodology for the design of a medical ontology that highlights the radiological and dosimetric knowledge, applied in diagnostic radiology and radiation-therapy. Our ontology, which we named «Onto.Rap», is the subject of radiation protection in medical and radiology centers by providing a standardized regulatory oversight. Thanks to its added values of knowledge-sharing, reuse and the ease of maintenance, this ontology tends to solve many problems. Of which we name the confusion between radiological procedures a practitioner might face while performing a patient radiological exam. Adding to it, the difficulties they might have in interpreting applicable patient radioprotection standards. Here, the ontology, thanks to its concepts simplification and expressiveness capabilities, can ensure an efficient classification of radiological procedures. It also provides an explicit representation of the relations between the different components of the studied concept. In fact, an ontology based-radioprotection expert system, when used in radiological center, could implement systematic radioprotection best practices during patient exam and a regulatory compliance service auditing afterwards.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1129532Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF
 J.M. Foucart, R. Felizardo and C. Pizelle, “Radiation Protection in Orthodontics: relevant data,” Orthod. Fr. Paris, vol.83, pp. 3-10, March 2012.
 R.U. Peter, O.B. Falco, A. Birioukov, N. Hacker, M. Kerscher, U. Peterseim, T. Ruzicka, B. Konz and G. Plewing, “Chronic cutaneous damage after accidental exposure to ionizing radiation: The Chernobyl experience,” Journal of the American Academy of Dermatology. San Francisco, vol.30, pp.719-723, May 1994.
 J.C. Nenot, P. Gourmelon, “Ionizing radiation accidents,” IRSN publication IRSN report 2007-79. Paris, vol.53, pp. 20-79, February 2007.
 Union CFDT of atomic energy, Le Dossier électronucléaire, Points Collection. Sciences de Points Series: Sciences, ISSN 0337-8160 Seuil frensh ed., vol. 4, Paris, 1980, p. 304.
 K. Cresswell and A. Sheikh, “Organizational issues in the implementation and adoption of health information technology innovations: An interpretative review,” International Journal of Medical Informatics. Ireland, vol.82, pp.73-86, May 2013.
 K. R. K. Kamoona, E. F. T. AlHares and Z. Isik. “Decision Making during the Project Management Life Cycle of Infrastructure Projects”. Decision Making, (World Academy of Science, Engineering and Technology), vol.10, 1, 2016.
 O. Bodenreider, “The Unified Medical Language System (UMLS): integrating biomedical terminology,” Nucleic acids research, vol.32, pp.267-270, January 2004.
 J. Golbeck, G. Fragoso, F. Hartel, J. Hendler, J. Oberthaler and B. Parsia, “The National Cancer Institute's Thesaurus and Ontology,” Journal of Web Semantics, vol. 1.pp.75-80, 2003.
 A. Belghiat, M. Bourahla, “Transformation of UML models towards OWL ontologies,” in proc. of the Int. Conf. on Sciences of Electronics, Tech. of Inf. and Telecom, 2012.
 A.Y. Wang, J.H. Sable and A.K. Spackman, “The SNOMED clinical terms development process: refinement and analysis of content,” Proc. AMIA. Symp. pp. 845–849, 2002.
 O. Bodenreider, B. Smith, A. Kumar, A. Burgun, “Investigating subsumption in SNOMED CT: an exploration into large description logic-based biomedical terminologies,” Artif.Intell.Med. pp.183-95, 2007.
 C.P. Langlotz, “RadLex: a new method for indexing online educational materials,” Radiographics. pp.1595-1597, 2006.
 P. Waraporn.”Designing Ontology-Based Knowledge Integration for Preprocessing of Medical Data in Enhancing a Machine Learning System for Coding Assignment of a Multi-Label Medical Text”. In Proceedings of World Academy of Science, Engineering and Technology. World Academy of Science, Engineering and Technology, vol.7, p.591, 2013.
 M. Regnier, Bibliothèque des Archives de philosophie, vol. 34. Beauchesne: California, 2007, p. 158.
 J. Charlet, B. Bachimont, L. Mazuel, F. Dhombres, M.C. Jaulent, J. Bouad, “Ontomenelas: motivation and feedback experience on the development of a core ontology of medicine,” JFO’2009, 3rd Francophone days on ontologies, France ACM. pp. 1-11, 2009.
 D.R. Lepores, “Large classifications of web data and the emergence of semantic indexing: the case of semantic portal tagging,” EMS-D-CITS. p. 26, 2011.
 C. Bonnet, G. Tiberghien, Psychology, artificial intelligence and automatic, Mardaga ed., 1986, p. 135-136.
 M.A. Musen, “Web Ontology Language (OWL),” Encyclopedia of Systems Biology. California, pp. 2350-2351, 2013.
 M. Samwald,”An RDF/OWL knowledge base for query answering and decision support in clinical pharmacogenetics”, Studies in health technology and informatics, vol.192, pp.539, 2013.
 H. Elasri, A. Sekkaki and L. Kzaz, “An Ontology-Based Method for Semantic Integration of Business Components,” NOTAIRE’2011, 11th Annual International Conference on New Technologies of Distributed Systems, US, p. 1, May 2011.
 F. Baader, D. Calvanese, D.M. Guinness, D. Nardi, P.P. Schneider, The Description Logic Handbook: Theory, Implementation and Applications, Cambridge, 2003, pp.485-494.
 A. Gangemi, “Some Ontological Tools to Support Legal Regulatory Compliance, with a Case Study,” In OTM Confederated International Workshops, Catania, Sicily, Italy, November 3-7, pp. 1-2, 2003.
 M. Erritali. “Semantic Indexing Approach of a Corpora Based On Ontology”. World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering, vol.9, pp.581-584, 2015.
 L. Yang, K. Cormican and M. Yu. “An Ontology Model for Systems Engineering Derived from ISO/IEC/IEEE 15288: Systems and Software Engineering-System Life Cycle Processes”. World Academy of Science, Engineering and Technology, Computer, vol.10, 2016.
 L.W. Lacy, OWL: Representing Information Using the Web Ontology Language, Trafford ed., v.8. Canada, 2005, pp. 184-195.
 L. Lezcano, M.-. Sicilia, C. Rodrguez-Solano, "Integrating reasoning and clinical archetypes using OWL ontologies and SWRL rules", J. Biomed. Informat., vol. 44, no.2, pp.343-353, 2011.
 J.P. Orlando, M.A. Musen and D.A. Moreira, “User Extensible System to Identify Problems in OWL Ontologies and SWRL Rules,” Lecture Notes in Computer Science. Stanford, vol.9202, pp.112-126, 2015.
 A.F.F. Joaquim, H. Gamboa, “Biomedical Engineering Systems and Technologies,” BIOSTEC’2011, 4th International Joint Conference, Rome, Italy, pp.285-300, January 26-29, 2011.
 D.H. Fudholi, N. Maneerat, R. Varakulsiripunth, Y. Kato, "Application of Protégé SWRL and SQWRL in fuzzy ontology-based menu recommendation", pp.631-634, 2009.
 H. Knublauch, R.W. Fergerson, N.F. Noy and M.A. Musen, “The Protégé OWL Plugin: An Open Development Environment for Semantic Web Applications,” ISWC’2004, 3rd International Semantic Web Conference, Hiroshima, Japan, vol.3298, pp.285-300, November 7-11, 2004.
 R. Lopez and Z. Callejas, “Multimodal dialogue for ambient intelligence and smart environments,” in Handbook of ambient intelligence and smart environments. Springer, 2010, pp. 559–579.
 A. Burgun, O. Bodenreider, F. Mougin, “Classifying diseases with respect to anatomy: a study in SNOMED CT,” AMIA. Annu. Symp. Proc. USA, pp.91-95, 2013.