Abstract
Ontologies provide an explicit and shared specification of the domain knowledge in some field. With the objective of facilitating the integration of case-based reasoning, rule-based reasoning and patient databases, we propose a medical ontology, which is inherent to the ophthalmology domain, but it can be reused by another medical domains with the same representation requirements. In order to achieve this degree of reusing, the ontology was designed making a difference between core and peripheral concepts, domain-specific and method-specific concepts and task(method)-relevant and task(method)-specific concepts.
This work has been funded by the Comisión Interministerial para la Ciencia y la Tecnologá (CICYT), through the research project TIC97-0604, and by the Secretaría Xeral de Investigación e Desenvolvemento da Xunta de Galicia, through the research project XUGA20601A98
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aamodt, A., Plaza, E.: Case-Based Reasoning: fundamental issues, methodological variations, and system approaches. Artif. Intell. Commun. 7(1), 39–59 (1994)
Bylander, T., Chandrasekaran, B.: Generic tasks in knowledge-based reasoning: The right level of abstraction for knowledge acquisition. In: Gaines, Boose (eds.) Knowledge Acquisition for Knowledge Based Systems, pp. 65–77. Academic Press, London (1988)
Chandrasekaran, B.: Generic task in knowledge-based reasoning: High level building blocks for expert system design. IEEE Expert 1(3), 23–30 (1986)
Chandrasekaran, B., Johnson, T.R.: Generic task and task structures: History, critique and new directions. In: David, Krivine, Simmons (eds.) Second Generation Expert Systems, pp. 232–272. Springer, Heidelberg (1993)
Chandrasekaran, B., Josephson, J.R., Benjamins, R.: What are ontologies, and why do we need then? IEEE Intelligent Systems and their applications 14(1), 20–26 (1999)
Falasconi, S., Stefanelli, M.: A library of implemented ontologies. In: Proc. of the ECAI Workshop on Comparison of Implemented Ontologies, Amsterdam, pp. 81–91 (1994)
Gómez-Pérez, A.: Knowledge sharing and reuse. In: Liebawitz, J. (ed.) The Hand-book of Applied Expert Systems, pp. 10-1–10-35. CRC Press LCC, Boca Raton (1998)
Guarino, N.: Understanding, building and using ontologies. Int. J. Human-Computer Studies 46, 1–24 (1998)
Jurisica, I., Mylopoulos, J., Glasgow, J., Shapiro, H., Casper, R.: Case-based reasoning in IVF: prediction and knowledge mining. Artificial Intelligence in Medicine 12, 293–310 (1997)
Kolodner, J.: Case-based Reasoning. Morgan Kaufmann, San Mateo (1993)
Kolodner, J., Mark, W.: Guest Editors’ Introduction. Case-Based Reasoning. IEEE Expert 7(5), 5–6 (1992)
Newell, A.: The knowledge level. Artificial Intelligence 18, 87–127 (1982)
Ong, L., Narasimhalu, A.: Case-Based Reasoning. In: Liebawitz, J. (ed.) The Handbook of Applied Expert Systems, pp. 11-1–11-16. CRC Press LCC, Boca Raton (1998)
Puerta, A., Edgar, J., Tu, S.W., Musen, M.A.: A multiple-method knowledge- acquisition shell for the automatic generation of knowledge-acquisition tools. In: Proc. of the 6th Knowledge Acquisition for Knowledge-Based System Workshop, Banff (1991)
Schreiber, A., Akkermans, J.M., Anjewierden, A.A., de Hoog, A., Val de Velde, W., Wielinga, B.: Knowledge Engineering and Management. In: The Common KADS Methodology. MIT Press, Cambridge
Schreiber, A., Wielinga, B., Hoog, R., Akkermans, H., Val de Velde, W.: Common- KADS: A comprehensive Methodology for KBS development. IEEE Expert 9(6), 28–37 (1994)
Steels, L.: Components of expertise. AI Magazine 11(2), 29–49 (1990)
van Heijst, G., Schreiber, A., Wielinga, B.: Using explicit ontologies in KBS development. Int. J. Human-Computer Studies 45, 183–292 (1997)
Wielinga, B.J., Schreiber, A.T., Breuker, J.A.: KADS: A modelling approach to knowledge engineering. Knowledge Acquisition 4(1), 5–53 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Taboada, M., Des, J., Arguello, M., Mira, J., Martínez, D. (2000). A Medical Ontology for Integrating Case-Based Reasoning, Rule-Based Reasoning, and Patient Databases. In: Kopacek, P., Moreno-Díaz, R., Pichler, F. (eds) Computer Aided Systems Theory - EUROCAST’99. EUROCAST 1999. Lecture Notes in Computer Science, vol 1798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720123_46
Download citation
DOI: https://doi.org/10.1007/10720123_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67822-9
Online ISBN: 978-3-540-44931-7
eBook Packages: Springer Book Archive