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EWCBR
2004
Springer

Explanation Service for Complex CBR Applications

10 years 6 months ago
Explanation Service for Complex CBR Applications
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.
Rainer Maximini, Andrea Freßmann, Martin Sch
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where EWCBR
Authors Rainer Maximini, Andrea Freßmann, Martin Schaaf
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