Retrieving Relevant Experiences

Armin Stahl
KI - Künstliche Intelligenz, Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. volume 21 number 4, Pages 30-33, Böttcher IT Verlag, 2007

Abstract:

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.

Files:

  KI_EM_Stahl.pdf

BibTex:

@article{ STAH2007,
	Title = {Retrieving Relevant Experiences},
	Author = {Armin Stahl},
	Year = {2007},
	Publisher = {Böttcher IT Verlag},
	Publisher = {21},
	Pages = {30-33},
	Journal = {KI - Künstliche Intelligenz, Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V.},
	Number = {4}
}

     
Last modified:: 30.08.2016