Business vocabulary of kidney transplant with ontological approach for a generic fact model
Keywords:
business rules, ontology, kidney transplant, fact ModelAbstract
Fact-oriented modeling is a conceptual approach that enables one to model business domains in terms of the underlying facts of interest, where all facts may be verbalized in language readily understandable by non-technical users of those business domains. This approach is used in the construction of business rules systems. Business Rules are built based on a vocabulary made up by words and phrases established by the users’ community of a particular business. Such a vocabulary, designated fact model by several authors, must be set at the initial stage of the rules life cycle. In this paper, the process of creating anontology through the selection of a generic structure that represent a Fact Model with the Protégé tool is addressed. This Fact Model is instantiated with the vocabulary of the Kidney Transplant domain which allow its later link to a Health System in this area that uses the business rules approach.
Downloads
References
P. P. Chen. “The entity-relationship model—towards a unified view of data”. ACM Transactions on Database Systems. Vol. 1. 1976. pp.9-36.
T. Teory, D. Yang, J. Fry. “A logical design methodology for relational databases using the extended E-R model”. ACM Computing Surveys. Vol. 18. 1986. pp. 197-222.
T. A. Halpin. Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design. Ed. Morgan Kaufmann. San Francisco (CA). 2001. pp. 6-18.
G. M. A. Verheijen, J. Van Bekkum. “NIAM: An Information Analysis Method”. En: T.W. Olle, H. G. Sol, A. Verrijn-Stuart (eds.). Information Systems Design Methodologies: A Comparative Review. Ed. IFIP. North-Holland. 1982. pp. 537-590.
D. Vermeir. “Semantic hierarchies and abstractions in conceptual schemata”. Information Systems. Vol. 8. 1983. pp. 117-124.
T. Halpin: “Fact-Oriented Modeling: Past, Present and Future”. J. Krogstie, A.L. Opdahl, S. Brinkkemper (eds.). Conceptual Modelling in Information Systems Engineering. Ed. Springer-Verlag. Berlin (Alemania). 2007. pp. 19-38.
I. Moreno, M. Martínez, L. González: Representación del Modelo de Hechos Mediante Ontologías. Tesis de Maestría. Departamento de Computación. Universidad Central de Las Villas. Santa Clara. 1998. pp. 10-75.
M. Bajec, K. Marjan. “Managing business rules in enterprises”. Electrotechnical Review. Vol. 68. 2006. pp. 236-241.
M. Bajec, M. Krisper, R. Rupnik. “Using Business Rules Technologies To Bridge The Gap Between Business and Business Applications”. G.E. Rechnu (editor). Proc. of the IFIP 16th World Computer Congress. Information Technology for Business Management. Peking. China. 2000. pp. 77-85.
M. Barne, D. Kelly. “Play by the Rules”. Byte (Special Report).1997 pp. 98-102.
BRG: Manifiesto de Reglas de Negocio: Los Principios de la Independencia de las Reglas. Traducción a español versión 1.0 noviembre de 2005 del Business Rules Manifesto. versión 2. 2003. pp. 1-2.
S. Hüsemann, M. Schäfer. “Building flexible eHealth Processes using Business Rules.” H. Stormer, A. Meier, M. Schumacher (eds.) European Conference on Health 2006. Proceedings of the ECEH’06. Fribourg (Switzerland). October 12-13. 2006. Vol. 91. pp. 25-36.
R. G. Ross. Business Rule Concepts. 2nd. ed. Ed. Business Rule Solutions. Houston. Texas (USA). LLC. 2005. pp. 3-21.
R. G. Ross, G. S. W. Lam. “Developing the Business Model The Steps of Business Rule Methodology”. Proteus Business Analysis Workshop. 4th. ed. Houston. Texas (USA). 2005. pp. 55-67.
D. Gasevic, D. Djuric, V. Devedzic. Model Driven Architecture and Ontology Development. Ed. Springer. Berlin. 2006. pp. 45-69.
R. G. Ross. “The Business Rule Approach”. IEEE Computer. Vol. 36. 2003. pp. 85-87.
T. Morgan. Business Rules and Information Systems: Aligning IT with Business Goals. Addison Wesley. Boston (MA). 2002. pp. 59-100.
O. Chappel. “Term-Fact Modeling, the Key to Successful Rule-Based Systems”. Business Rules Journal. Vol. 6. 2005. pp. 1-10.
A. Levey, S. Hou, H. Bush: “Kidney transplantation from unrelated living donor: time to reclaim a discared opportunity”. The New England Journal of Medicine. Vol. 314. 1986. pp. 914-916.
A. J. Matas, W. D. Payne, D. E. R. Sutherland, A. Humar, R.W. Gruessner, R. Kandaswamy, Dunn D L. K. Gillingham, J. S. Najarian. “2,500 Living Donor Kidney Transplants: A Single-Center Experience”. Annals of Surgery. Vol. 234. 2001. pp. 149-164.
BRG. “Defining Business Rules ~ What Are They Really?”. What is BR. 3a ed.Ed. Business Rules Group. Houston. Texas (USA). 2000. pp. 15-24.
Real Academia Española (RAE). Diccionario de la Lengua Española. 22ª. Ed. 2006. en: http:// b u s c o n . r a e . e s / d r a e I / S r v l t C o n s u l t a ? T I P O _ BUS=3&LEMA=ontología. Consultada el 7 de noviembre de 2008.
N. Guarino, P. Giaretta. “Ontologies and Knowledge Bases: Towards a Terminological Clarification. Toward Very Large Knowledge Bases”. K. Fuchi, H. Kokoi (editores). Knowledge Building & Knowledge Sharing. Ed. IOS Press. Amsterdam. 1995. pp. 25-32.
T. Gruber: “Toward Principles for the Design of Ontologies Used for Knowledge Sharing”. International Journal of Human Computer-Studies. Vol. 43. 1995. pp. 907-928.
S. Studer, R. Benjamins, D. Fensel. “Knowledge Engineering: Principles and Methods”. Data and Knowledge Engineering. Vol. 25. 1998. pp. 161-197.
A. J. Duineveld, R. Stoter, M. R. Weiden, B. Kenepa, V. R. Benjamins. “WonderTools? A comparative study of ontological engineering tools”. International Journal of Human-Computer-Studies. Vol. 52. 2000. pp. 1111-1133.
J. Gennari, M. A. Musen, R. W. Fergerson, W. E. Grosso, M. Crubezy, H. Eriksson, N. F. Noy, S. W. Tu. “The Evolution of Protégé: An Environment for Knowledge-Based Systems Development”. International Journal of Human-Computer Studies. Vol. 58. 2003. pp. 89-123.
N. F. Noy, D. L. McGuinness. “Ontology Development 101: A Guide to Creating Your First Ontology”. Technical Report KSL-01-05. Knowledge Systems Laboratory. Stanford University. Stanford. USA. March. 2001. pp. 1-25.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Revista Facultad de Ingeniería
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Revista Facultad de Ingeniería, Universidad de Antioquia is licensed under the Creative Commons Attribution BY-NC-SA 4.0 license. https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en
You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
The material published in the journal can be distributed, copied and exhibited by third parties if the respective credits are given to the journal. No commercial benefit can be obtained and derivative works must be under the same license terms as the original work.
Twitter