Abstract
Motivated on knowledge representation and veterinary domain this project aims at using semantic technologies to develop a tool which supports veterinary diagnosis. For this purpose an ontology based inference engine was developed following the diagnosis task definition provided by CommonKADS methodology. OWL was the language used for representing the ontologies, they were built using Protégé and processed using the Jena API. The inference engine was tested with two different ontologies. This shows the versatility of the developed tool that can easily be used to diagnose different types of diseases. This is an example of the application of CommonKADS diagnosis template using ontologies. We are currently working to make diagnoses in other domains of knowledge.
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References
Stanley, I.H., Conwell, Y., Bowen, C., Van Orden, K.A.: Pet ownership may attenuate loneliness among older adult primary care patients who live alone. Aging & Mental Health 18, 394–399 (2014). PMID: 24047314
Iotti, B., Valazza, A.: A reliable, low-cost picture archiving and communications system for small and medium veterinary practices built using open-source technology. Journal of Digital Imaging, 1–8 (2014)
Volkova, S., Hsu, W.: Computational knowledge and information management in veterinary epidemiology. In: 2010 IEEE International Conference on Intelligence and Security Informatics (ISI), pp. 120–125 (2010)
Tangtulyangkul, P., Hocking, T., Fung, C.C.: Intelligent information mining from veterinary clinical records and open source repository. In: IEEE Region 10 Conference TENCON 2009, pp. 1–6 (2009)
Chandrasekaran, B., Josephson, J.R., Benjamins, R.: Ontology of tasks and methods. In: AAAI Spring Symposium (1997)
Schreiber, G.: Knowledge engineering and Management: the CommonKADS methodology. MIT Press (2000)
Surakratanasakul, B., Hamamoto, K.: CommonKADS’s knowledge model using UML architectural view and extension mechanism, pp. 59–63 (2011). Cited by (since 1996) 1
Schreiber, A., Terpstra, P.: Sisyphus-VT: A CommonKADS solution. International Journal of Human-Computer Studies 44, 373–402 (1996)
Van de Velde, W.: Knowledge and software engineering. International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications 3, 3–8 (1995). Cited by (since 1996) 0
Schreiber, G., Wielinga, B., de Hoog, R., Akkermans, H., Van de Velde, W.: CommonKADS: a comprehensive methodology for KBS development. IEEE Expert 9, 28–37 (1994)
Tsai, Y.H., Ko, C.H., Lin, K.C.: Using CommonKADS method to build prototype system in medical insurance fraud detection. Journal of Networks 9, 1798–1802 (2014)
Sriwichai, P., Meksamoot, K., Chakpitak, N., Dahal, K., Jengjalean, A.: The effectiveness of knowledge management system in research mentoring using knowledge engineering. International Education Studies 7, 25 (2014)
Yang, Y.: Design and implementation of knowledge system of wireless communication equipment fault diagnosis. Advanced Materials Research 945, 1108–1111 (2014)
Lopes, L.F., Lopes, M.C., Fialho, F.A.P., Gonçalves, A.L.: Knowledge system for acupuncture diagnosis: a modeling using CommonKADS. Gestão & Produção 18, 351–366 (2011)
Kingston, J.K.C.: Designing knowledge based systems: the CommonKADS design model. Knowledge-Based Systems 11, 311–319 (1998)
Schreiber, G., Crubézy, M., Musen, M.A.: A case study in using Protégé-2000 as a tool for CommonKADS. In: Dieng, R., Corby, O. (eds.) EKAW 2000. LNCS (LNAI), vol. 1937, pp. 33–48. Springer, Heidelberg (2000)
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Melgar S., H.A., Salas Guillén, D., Gonzales Maceda, J. (2015). Ontology Based Inferences Engine for Veterinary Diagnosis. In: Supnithi, T., Yamaguchi, T., Pan, J., Wuwongse, V., Buranarach, M. (eds) Semantic Technology. JIST 2014. Lecture Notes in Computer Science(), vol 8943. Springer, Cham. https://doi.org/10.1007/978-3-319-15615-6_6
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DOI: https://doi.org/10.1007/978-3-319-15615-6_6
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