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) 21 4 Seiten 30-33 Böttcher IT Verlag 2007.


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.

KI_EM_Stahl.pdf (pdf, 947 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence