Publikation
Retrieving Relevant Experiences
Armin Stahl
In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 21, No. 4, Pages 30-33, Böttcher IT Verlag, 2007.
Zusammenfassung
In order to enable the efficient reuse of collected experience knowledge, the identifcation of the most relevant ex-
periences with respect to the current reuse need is one of the most crucial issues. One approach for supporting this
process with AI methods is the application of similarity-based retrieval techniques developed in the area of Case-Based
Reasoning. We describe the basic idea of this approach and present a novel open source tool which simplifies the
development of knowledge-based retrieval functionality in experience management applications.