Abstract
This paper presents a system for geological interpretation that uses previous cases as well as knowledge elicited from an expert as the main sources of knowledge used to solve new problems. The paper describes the knowledge acquisition methodology applied in the construction of the knowledge base, as well as its final structure. A case-based reasoning method for geological interpretation that relies on the use of a case-based matching algorithm combined with knowledge elicited from an expert is presented and evaluated. When faced with a new problem, the system searches a case library for the most similar previous case. The solution adopted in the previous case is adapted to fit the new case using knowledge graphs elicited from the expert. Conclusions, final results and future directions on this research are presented.
Preview
Unable to display preview. Download preview PDF.
References
ABEL, M. Knowledge processing in geology: major problems and future trends. In Proceedings of Latin American Conference on Artificial Intelligence in Petroleum Exploration and Production. Rio de Janeiro, Instituto Brasileiro do Petróleo, 1991.
ABEL, M. and CASTILHO, J. M. V. de. Hybrid information systems: integrating data and knowledge management. In Proceedings International Conference of the Sociedade Chilena de Ciencia de la Computacion. La Serena, Chile, 1993.
BUCHANAN, B. and SHORTLIFFE, E. Rule-based expert systems: the MYCIN experiments. Reading, Addison-Wesley, 1984.
FOLK, R. L. Petrology of sedimentary rocks. Austin, Hemphill's Book Store, 1968.
KAULA, R. and NGWENYAMA, O. K. An approach to open intelligent information systems. Information Systems, 15(4): 489–496, 1990. Oxford: Pergamon Press.
KOLODNER, J. Case-based reasoning. Morgan Kaufman, San Matheo, 1993.
LEÃO, B. F. and ROCHA, A. F. Proposed methodology for knowledge acquisition: a study on congenital heart disease diagnosis. Methods of Information in Medicine, 29: 30–40, 1990.
LEÃO, B. F and REATEGUI, E. B. A hybrid connectionist expert system to solve classificational problems. In Proceedings of Computers in Cardiology, 1993. London, UK.
MILLER, R. A. et al. Internist-I: an experimental computer-based diagnostic consultant for general internal medicine. In REGGIA, J. A. and STANLEY, T. (Eds.). Computer-assisted medical decision making — vol. 2. New York, NY: Springer Verlag, 1986.
PORTER, B. W. et al. Concept learning and heuristic classification in weak theory domains. Artificial Intelligence 45, vol. 1–2: 229–263. September, 1990.
REATEGUI, E. B. and LEÃO, B. F. Integrating neural networks with the formalism of frames. In Proceedings of the First World Congress on Neural Networks '93. Portland, Oregon 1993.
SYCARA, K. Using case-based reasoning for plan adaptation and repair. In Proceedings of the Case-Based Reasoning Workshop '88. Clearwater Beach, Florida, 1988.
WRIGHT, G. and AYTON, P. Eliciting and modelling expert knowledge. Decision Support Systems 3: 13–26. Elsevier Science Publishers, North-Holland, 1987.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Abel, M., Reategui, E.B., de Castilho, J.M.V., Campbell, J. (1995). Evaluating case-based reasoning in a geological domain. In: Revell, N., Tjoa, A.M. (eds) Database and Expert Systems Applications. DEXA 1995. Lecture Notes in Computer Science, vol 978. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0049134
Download citation
DOI: https://doi.org/10.1007/BFb0049134
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60303-0
Online ISBN: 978-3-540-44790-0
eBook Packages: Springer Book Archive