Abstract
An approach to enhancement of case-based reasoning in situations where substantial amounts of the knowledge are expressed as informal or “folk” arguments is applied to the authentication (dating) of paintings. It emphasizes knowledge acquisition templates, indexing through numerical taxonomy and close attention to typing of the arguments. This work has shown that even simple types can be regarded as attributes of the arguments, hence attributes of their cases. The cases are then organized and retrieved through structuring of the case bases by methods of numerical taxonomy. Expertise expressed as texts of detailed reports on dating of paintings from historical and chemical knowledge is the source material from which the cases are constructed. Case bases with and without folk-argument knowledge, for the same paintings, are compared for their ability to assign correct date ranges. In this test, the performance of the case base containing argument knowledge is consistently superior.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Silva, L.A.L., Campbell, J.A., Buxton, B.F.: Folk Arguments, Numerical Taxonomy and Case-Based Reasoning. In: Althoff, K.-D., Bergmann, R., Minor, M., Hanft, A. (eds.) ECCBR 2008. LNCS (LNAI), vol. 5239, pp. 518–532. Springer, Heidelberg (2008)
Schreiber, A.T.G., Akkermans, H., Anjewierden, A., Hoog, R.D., Shadbolt, N., Velde, W.v.d., Wielinga, B.: Knowledge Engineering and Management - The CommonKADS Methodology. The MIT Press, Cambridge (2000)
Sneath, P.H., Sokal, R.R.: Numerical Taxonomy - The Principles and Practice of Numerical Classification. W. H. Freeman and Company, San Francisco (1973)
Eastaugh, N.: Scientific Dating of Paintings. Infocus Magazine, 30–39 (2006)
Berezhnoy, I., Postma, E., van den Herik, J.: Computer Analysis of Van Gogh’s Complementary Colours. Pattern Recognition Letters 28, 703–709 (2007)
Ashley, K.D., Rissland, E.L.: Law, Learning and Representation. Artificial Intelligence 150, 17–58 (2003)
Chesñevar, C., Maguitman, A., Loui, R.P.: Logical Models of Argument. ACM Computing Surveys 32, 337–383 (2000)
Eastaugh, N., Walsh, V., Siddall, R., Chaplin, T.: Pigment Compendium: A Dictionary and Optical Microscopy of Historic Pigments. Butterworth-Heinemann, Butterworths (2008)
Silva, L.A.L., Campbell, J.A., Eastaugh, N., Buxton, B.F.: A Case for Numerical Taxonomy in Case-Based Reasoning. In: Zaverucha, G., da Costa, A.L. (eds.) SBIA 2008. LNCS (LNAI), vol. 5249, pp. 177–186. Springer, Heidelberg (2008)
Gardner, K.M., Rush, A.R., Crist, M., Konitzer, R., Teegarden, B.: Cognitive Patterns: Problem-Solving Frameworks for Object Technology. Cambridge Univ. Press, Cambridge (1998)
Walton, D., Reed, C., Macagno, F.: Argumentation Schemes. Cambridge Univ. Press, Cambridge (2008)
Benjamins, R.: Problem-Solving Methods for Diagnosis and Their Role in Knowledge Acquisition. International Journal of Expert Systems 8, 93–120 (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Silva, L.A.L., Campbell, J.A., Eastaugh, N., Buxton, B.F. (2010). A Case for Folk Arguments in Case-Based Reasoning. In: Bichindaritz, I., Montani, S. (eds) Case-Based Reasoning. Research and Development. ICCBR 2010. Lecture Notes in Computer Science(), vol 6176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14274-1_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-14274-1_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14273-4
Online ISBN: 978-3-642-14274-1
eBook Packages: Computer ScienceComputer Science (R0)