Publikation

Towards a domain-specific language for knowledge maintenance of CBR systems

Pascal Reuss, Wasgen Muradian, Klaus-Dieter Althoff

In: Thomas Seidl (Hrsg.). Lernen, Wissen, Daten, Analysen. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA-2021) September 1-3 Munich Germany CEUR 2021.

Abstrakt

Maintaining CBR systems can be a challenging task depending on the complexity of the domain and use case of the CBR system, the knowledge to maintain, and the applicable approaches. Many maintenance policies and strategies were developed during the last decades, but mostly for specific individual CBR systems and not broadly used. This paper describes a first step towards a domain-specific language for knowledge maintenance of CBR systems that could be used in a maintenance framework to bundle the various existing maintenance policies and strategies and give a knowledge engineer a tool to maintain CBR systems more efficient and effectively.

Weitere Links

paper_38.pdf (pdf, 451 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence