Abstract
Case-based Reasoning (CBR) is a mature technology for building knowledge-based systems that are capable to produce useful results even if no answer matches the query exactly. Often the result sets presented to users are ordered by means of similarity and utility. However, for complex applications with knowledge intensive domains we have discovered that results sets enriched by calculated similarity values for particular answers are not sufficient. Users have a demand for additional information and explanations making the proposed results more transparent. By presenting additional explanations to them, their confidence in the result set increases and possible deficiencies, e.g., in the weight model, can be revealed and corrected. This paper presents a realized explanation service that combines several existing and new explanation technologies into one system.
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References
Bergmann, R.: Experience Management. LNCS (LNAI), vol. 2432. Springer, Heidelberg (2002)
Lewis, J.: Intellectual property (IP) components. Artisan Components, Inc., (web page), http://www.artisan.com/ip.html (1997) (Accessed October 28, 1998)
Schaaf, M., Maximini, R., Bergmann, R., Tautz, C., Traphöner, R.: Supporting electronic design reuse by integrating quality-criteria into CBR-based IP selection. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, p. 628. Springer, Heidelberg (2002)
Schaaf, M., Visarius, M., Bergmann, R., Maximini, R., Spinelli, M., Lessmann, J., Hardt, W., Ihmor, S., Thronicke, W., Franz, J., Tautz, C., Traphöner, R.: IPCHL - a description language for semantic IP characterization. In: Forum on Specification & Design Languages (2002)
empolis knowledge management GmbH: The orenge Framework - A Platform for Intelligent Industry Solutions Based on XML and Java. empolis knowledge management GmbH, Kaiserslautern (2001)
Maximini, K., Maximini, R., Bergmann, R.: An investigation of generalized cases. In: [22], pp. 261– 275
Maximini, R., Tartakovski, A.: Approximative retrieval of attribute dependent generalized cases. In: FGWM 2003 Workshop Wissens- und Erfahrungsmanagement, GI Workshop Woche LLWA (2003), http://km.aifb.unikarlsruhe.de/ws/LLWA/fgwm
Richards, D.: Knowledge-based system explanation: The ripple-down rules alternative. In: Knowledge and Information Systems, London, Great Britain, pp. 2–25. Springer, Heidelberg (2003)
Oehler, P., Vollrath, I., Conradi, P., Bergmann, R., Wahlmann, T.: READee - decision support for IP selection using a knowledge-based approach. In: Proceedings of IP 1998 Europe, Miller Freeman (1998)
Busemann, S., Horacek, H.: A flexible shallow approach to text genertion. In: The 9th International Workshop on Natural Language Generation, Niagara-on-the-Lake, Canada, pp. 238–247 (1998)
MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: [21], pp. 281–297
Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: [21], pp. 226–231
Fisher, D.H.: Knowledge aquisition via incremental conceptual clustering. Machine Learning 2, 139–172 (1987)
Mullins, M., Smyth, B.: Visualisation methods in case-based reasoning. In: Weber, R., Gresse von Wangenheim, C. (eds.) The 4th International Conference on Case-Based Reasoning, Vancouver, Canada (2001)
McArdle, G.P., Wilson, D.C.: Visualising case-base usage. In: [23], pp. 105–124
Schmitt, S.: Dialog Tailoring for Similarity-Based Electronic Commerce Systems. PhD thesis, University of Kaiserslautern, Germany (2003)
McSherry, D.: Similarity and compromise. In: [22], pp. 291–305
McSherry, D.: Explanation of retrieval mismatches in recommender system dialogues. In: [23], pp. 191–199
Horacek, H., Busemann, S.: Towards a methodology for developing application-oriented report generation. In: Herzog, O. (ed.) The 22th German Conference on Artificial Intelligence, Bremen, Germany, pp. 189–200 (1998)
Swartout, W., Moore, J.: Explanation in second generation expert systems. In: David, J., Krivine, J.P., Simmons, R. (eds.) Second Generation Expert Systems, pp. 543–585. Springer, Berlin (1993)
Le Cam, L., Neyman, J. (eds.): 5th Berkeley Symposium onMathematics, Statistics and Probability (1967)
Ashley, K.D., Bridge, D.G. (eds.): ICCBR 2003. LNCS, vol. 2689. Springer, Heidelberg (2003)
McGinty, L. (ed.): Workshop Proceedings. In McGinty, L. (ed.): The 5th International Conference on Case-Based Reasoning, Norwegian, Norwegian University of Sience & Technology (NTNU), Department of Computer and Information Science (2003)
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Maximini, R., Freßmann, A., Schaaf, M. (2004). Explanation Service for Complex CBR Applications. In: Funk, P., González Calero, P.A. (eds) Advances in Case-Based Reasoning. ECCBR 2004. Lecture Notes in Computer Science(), vol 3155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28631-8_23
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DOI: https://doi.org/10.1007/978-3-540-28631-8_23
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