Application to visualize an ontology for the human semen analysis domain
Main Article Content
Keywords
ontology, ontology visualization, Methontology, Protégé, human semen.
Abstract
The following work presents the design and implementation of an ontology for human semen analysis whose objective is to present, organize, formalize and standardize the domain knowledge, in order to be shared and reused by different groups of people and software applications. To visualize this ontology, a Web application based on a client/server architecture was developed, which is constituted by an administration and a public access module. The ontology web site is maintained throughout the administration module whereas the public access module allows users to access the stored knowledge and a group of resources such as images, videos, domain related articles, tutorials and laboratory protocols. The proposed architecture facilitates the observation and recovering of complex knowledge structures as well as the navigation and administration of the information presented in the ontology. The approach used for the design of the information retrieval mechanisms is oriented to both expert and inexpert users. This functionality is of special interest given the heterogeneous of the audience towards this ontology is oriented which includes, among others, health sciences students and professionals. Methontology methodology was selected in order to develop this ontology, using Protégé editor for its implementation.
PACS: 07.05.Rm, 07.05.Pj, 07.05.Tp
MSC: 68Txx, 68Uxx
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References
[2] D. Mortimer. Practical Laboratory Andrology, ISBN 0–19–506595–6. Oxford University Press, 1994.
[3] T. Gruber. A translation approach to portable ontology specifications. Knowledge Acquisition, ISSN 1042–8143, 5(2), 199–220 (june 1993).
[4] M. Uschold and M. King. Towards a Methodology for Building Ontologies (1995). IJCAI’95 Workshop on Basic Ontological Issues in Knowledge Sharing 1995, http://citeseer.ist.psu.edu/uschold95toward.html, febrero de 2007.
[5] M. Gr¨uninger and M. Fox.Methodology for the design and evaluation of ontologies (1995). IJCAI’95 Workshop on Basic Ontological Issues in Knowledge Sharing, http://citeseer.ist.psu.edu/grninger95methodology.html, febrero de 2007.
[6] A. Gómez Pérez, M. Fernández López and O. Corcho. Ontological Engineering, ISBN 1852335513. Springer Verlag, October 2002.
[7] C. Fluit, M. Sabou and F. Van Harmelen. Ontology–based Information Visualization: Towards Semantic Web Applications. Visualising the Semantic Web, 2nd Edition. Springer–Verlag: Editor Vladimir Geroimenko, 2005, http://www.cs.vu.nl/_frankh/abstracts/VSW05.html, febrero de 2007.
[8] A. Katifori, E. Torou, C. Halatsis, G. Lepouras and C. Vassilakis. A Comparative Study of four Ontology Visualization Techniques in Protégé: Experiment Setups Preliminary Results. Proceedings of the 06 Conference on information Visualization, ISSN 0-7695-2602-0, IEEE Computer Society, 417–423 (2006).
[9] T. Noriega, J. Orosa, M. Puerta y J. Goncalves. Manual Práctico. I Curso de Actualización. Análisis del Líquido Seminal. Cátedra de Histología, Escuela de Bioanálisis, Facultad de Medicina, Universidad Central de Venezuela, 2002.
[10] J. Montes, L. Cantu, M. Cánepa, J. Alciaturi, M. Machado y M. Bruné. ¿Es posible obtener del estudio de semen mejores predictores de fertilidad? Séptimo Congreso de la Federación Latinoamericana de Sociedades de Esterilidad y Fertilidad, FLASEF, 2002. Montevideo–Uruguay, 15–24 (2002).
[11] R. Padrón, G. Fernández y M. Gallardo. Interpretación del Análisis seminal . Revista Cubana Endocrinología, ISSN 0188–9796, Instituto Nacional de Endocrinología, Departamento de Reproducción humana, 9(1), 81–90 (1998).
[12] G. Barroso, R. Mercan, K. Ozgur, M. Morshedi, P. Kolm, K. Coetzee, T. Kruger and S. Oehninger. Intra-inter-laboratory variability in the assessment of sperm morphology by strict criteria: impact of semen preparation, staining techniques manual versus computerized analysis. Human Reproduction, ISSN 0286–1161, 14(8), 2036–2040 (August 1999).
[13] A. Teppa y A. Palacios. Evaluación actual de la infertilidad masculina. Investigaci ón Clínica, ISSN 0535–5133, Venezuela, 45(4), 355–370 (2004).
[14] O. Corcho, M. Fernández, A. Gómez Pérez and A. López. Building legal ontologies with Methontology and WebODE, Legal Ontologies, Methodologies, Legal Information Retrieval and Applications, Law and the Semantic Web. LNAI. 3369, ISBN 3–540–25063–8, Springer–Verlag, 2005.
[15] Y. Chaudary, C. Scarioni, E. Ramos y M. Castro. Ontología para el dominio de insectos acuáticos. Trabajo Especial de Grado, Escuela de Computación, Facultad de Ciencias, Universidad Central de Venezuela, Caracas–Venezuela, 2005.
[16] L. Vilches, M. Bernabé, M. Suárez Figueroa, A. Gómez Pérez and A. Rodríguez. Towntology & hydrOntology: Relationship between Urban and Hydrographic Features in the Geographic Information Domain. 1st Workshop of COST Action C21 Ontologies for Urban Development: Interfacing Urban Information Systems, University of Geneva, Geneva–Switzerland, 2006.
[17] M. Fernández López, A. Gómez Pérez, A. Pazos and J. Pazos. Building a Chemical Ontology Using Methontology and the Ontology Desing Environment. IEEE Intelligent Systems & their Applications, ISSN 1094–7167, 4(1), 37–46 (1999).
[18] A. Alonso, B. G¨uijarro, A. Lozano, J. Palma y Ma. J. Taboada. Ingeniería del Conocimiento Aspectos Metodológicos, ISBN 84–205–4192-3, España: Pearson Prentice Hall, 2004.
[19] Protégé Web Site. http://protege.stanford.edu/, febrero de 2007.
[20] International Society for Computational Biology (ISCB). Protégé Conferencia Internacional Anual No 13 sobre Sistemas Inteligentes para Biología Molecular, 2005.
[21] L. Reeve. Information retrieval on the semantic Web using ontology–based visualization. http://www.pages.drexel.edu/_lhr24/courses/Info780-06Paper.pdf, diciembre de 2006.
[22] Foundation for Intelligent Physical Agents (FIPA). Ontology Service Specification. Número de documento: XC00086C, http://www.fipa.org/specs/fipa00086/XC00086C.html, febrero de 2007.
[23] Lab. Jambalaya. Chisel: Computer Human Interaction & Software Engineering. http://www.thechiselgroup.org/jambalaya/, febrero de 2007.
[24] C. Fluit, M. Sabou and F. Van Harmelen. Supporting User Tasks through Visualization of Light-weight Ontologies, ISBN 3–540–40834–7, In Staab S and Studer R (Eds) Handbook on ontologies in Information Systems, Springer, http://www.cs.vu.nl/_frankh/abstracts/OntoHandbook03Viz.html, 415– 434 (2004).