One of the main aspects of knowledge management is the task of knowledge maintenance. Building and running knowledge intensive Case-Based Reasoning applications requires fundamental design decisions during the system design phase with regard to the knowledge maintenance within the system as well as accurate knowledge maintenance approaches within the running system. In this paper we will detail on the design decisions available in the myCBR 3 CBR system design software as well as research in the available and future knowledge maintenance approaches within myCBR 3 CBR. Next to maintaining the standard knowledge of any CBR system, represented by the four knowledge containers after Richter, this paper also presents existing and currently researched approaches to represent and furthermost maintain context knowledge as well as explanatory knowledge within myCBR 3 CBR . We will give an overview of the myCBR 3 CBRs Knowledge Engineering workbench, providing the tools for the modelling and maintenance process and detail on currently explored new features to further integrate knowledge maintenance for context-sensitive and explanation aware CBR systems into our myCBR 3 CBR software
['Alexander Hundt', 'Pascal Reuss', 'Christian Sauer', 'Thomas Roth-Berghofer']
Knowledge modelling and maintenance in myCBR3