Abstract
This article contains a description of a knowledge elicitation effort and representation pertaining to the modeling of conceptual knowledge in the health care field. The project has the goal of building a conceptual model of data in the Military Health System Data Repository, a large DoD/VA aggregation of databases that can be used in the implementation of software. The goal is to create a just-in-time conceptual model of the data to facilitate software development and foster software developer understanding of the domain.
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References
Novak, J., Gowin, D.: Learning How to Learn. Cambridge University Press, New York (1984)
Briggs, G., Shamma, D., Cañas, A.J., Scargle, J., Novak, J.D.: Concept maps applied to Mars exploration public outreach. In: Cañas, A.J., Novak, J.D., González, F. (eds.) Concept Maps: Theory, Methodology, Technology. Proceedings of the First International Conference on Concept Mapping, pp. 125–133, Pamplona, Spain. (2004)
Novak, J.D., Musonda, D.: A twelve-year longitudinal study of science concept learning. Am. Educ. Res. J. 28(1), 117–153 (1991)
Coffey, J.W., Eskridge, T.: Case studies of knowledge modeling for knowledge preservation and sharing in the U.S. nuclear power industry. J. Inf. Knowl. Manage. 7(3), 173–185 (2008)
Coffey, J.W., Hoffman, R.R., Cañas, A.J.: Concept map-based knowledge modeling: perspectives from information and knowledge visualization. Inf. Vis. 5, 192–201 (2006)
Turns, J., Atman, C.J., Adams, R.: Concept maps for engineering education: a cognitive motivated tool supporting varied assessment functions. IEEE Trans. Educ. 43(2), 164–173 (2000)
McNeese, M., Zaff, B.S., Brown, C.E., Citera, M., Selvaraj, J.: Understanding the context of multidisciplinary design: establishing ecological validity in the study of design problem solving. In: Proceedings of the 37th Annual Meeting of the Human Factors Society, Santa Monica, CA, pp. 1082–1086 (1993)
McNeese, M., Zaff, B.S., Citera, M., Brown, C.E., Whitaker, R.: AKADAM: eliciting user knowledge to support participatory ergonomics. Int. J. Ind. Ergon. 15, 345–363 (1995)
Coffey, J., Reichherzer, T., Wilde, N., Owsnicki-Klewe, B.: Automated concept-map generation from service-oriented architecture artifacts. In: Proceedings of the 5th International Conference on Concept Mapping, Valetta, Malta (2012)
Snider, D., Coffey, J., Reichherzer, T., Wilde, N., Terry, C., Vandeville, J., Heinen, A., Pramanik, S.: Using concept maps to introduce software security assurance cases. CrossTalk J. Defense Softw. Eng. 27(5), 4–9 (2014)
Ford, K.M., Cañas, A.J., Jones, J., Stahl, H., Novak, J., Adams-Webber, J.: ICONKAT: an integrated constructivist knowledge acquisition tool. Knowl. Acquisition 3, 215–236 (1991)
Ford, K.M., Cañas, A.J., Coffey, J.W.: Participatory explanation. In: Proceedings of the Sixth Florida Artificial Intelligence Research Symposium, Ft. Lauderdale, FL, pp. 111–115 (1993)
Ford, K.M., Bradshaw, J.M.: Beyond the repertory grid: new approaches to constructivist knowledge acquisition tool development. Int. J. Intell. Syst. 8, 287–333 (1995)
Cañas, A.J., Hill, G., Carff, R., Suri, N., Lott, J., Eskridge, T., Gómez, G., Arroyo, M., Carvajal, R.: CmapTools: a knowledge modeling and sharing environment. In: Cañas, A.J., Novak, J.D., González, F. (eds.) Concept Maps: Theory, Methodology, Technology. Proceedings of the First International Conference on Concept Mapping, Pamplona, Spain (2004)
Walker, J.M.T., King, P.H.: Concept mapping as a form of student assessment and instruction. In: Proceedings of the 2002 ASEE Annual Conference and Exposition (2002)
Health.Mil, The Official website of the Military Health System and Defense Health Agency. http://www.health.mil/Military-Health-Topics/Technology/Clinical-Support/Military-Health-System-Data-Repository
Combi, C., Oliboni, B.: Conceptual modeling of XML data. In: Proceedings of the 2006 ACM Symposium on Applied Computing, Dijon, France (2006)
Aguirre-Urreta, M., Marakas, G.M.: Comparing conceptual modeling techniques: a critical review of the EER vs OO empirical literature. DATA BASE Adv. Inf. Syst. 39(2), 9–32 (2008)
Castro, L., Baião, F., Guizzardi, G.: A semantic oriented method for conceptual data modeling in OntoUML based on linguistic concepts. In: Jeusfeld, M., Delcambre, L., Ling, T.-W. (eds.) ER 2011. LNCS, vol. 6998, pp. 486–494. Springer, Heidelberg (2011)
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Partial funding for this project was provided by Blue-Cross Blue-Shield through the Security and Software Engineering Research Center (http://www.serc.net).
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Reichherzer, T., Coffey, J., Gonen, B., Gillett, I. (2015). Knowledge Modeling in the Health Care Domain: Capturing Semantics to Bridge the Gap Between Complex Data Models and Object Models. In: Desfray, P., Filipe, J., Hammoudi, S., Pires, L. (eds) Model-Driven Engineering and Software Development. MODELSWARD 2015. Communications in Computer and Information Science, vol 580. Springer, Cham. https://doi.org/10.1007/978-3-319-27869-8_19
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