Evaluation of the FastFIX Prototype 5Cs CARD System

The 5Cs architecture offers a hybrid Case And Rule-Driven (CARD) system that supports the Collaborative generation and refinement of a relational structure of Cases, ConditionNodes, Classifications, and Conclusions (hence 5Cs). It stretches the Multiple Classification Ripple Down Rules (MCRDR) algorithm and data structure to encompass collaborative classification, classification merging, and classification re-use. As well, it offers a very lightweight collaborative indexing tool that can act as an information broker to knowledge resources across an organisation's Intranet or across the broader Internet, and it supports the coexistence of multiple truths in the knowledge base. This paper reports the results of the software trial of the FastFIX prototype – an early implementation of the 5Cs model, in a 24x7 high-volume ICT support centre.

[1]  P. Compton Simulating Expertise , 2000 .

[2]  Megan Vazey Stochastic Foundations for the Case-Driven Acquisition of Classification Rules , 2006, EKAW.

[3]  R. Wille Concept lattices and conceptual knowledge systems , 1992 .

[4]  Debbie Richards,et al.  A Case-Classification-Conclusion 3Cs Approach to Knowledge Acquisition: Applying a Classification Logic Wiki to the Problem Solving Process , 2006, Int. J. Knowl. Manag..

[5]  Deborah Richards,et al.  Extending the SISYPHUS III Experiment from a Knowledge Engineering Task to a Requirements Engineering Task , 2007 .

[6]  Achim G. Hoffmann,et al.  HeurEAKA - A New Approach for Adapting GAs to the Problem Domain , 2004, PRICAI.

[7]  Ghassan Beydoun,et al.  Incremental acquisition of search knowledge , 2000, Int. J. Hum. Comput. Stud..

[8]  Steffen Staab,et al.  Managing Knowledge in a World of Networks , 2008 .

[9]  Ghassan Beydoun,et al.  Cooperative Modelling Evaluated , 2005, Int. J. Cooperative Inf. Syst..

[10]  Byunghoon Kang Validating Knowledge Acquisition: Multiple Classification Ripple Down Rules PhD Thesis , 1996 .

[11]  P. Compton,et al.  A philosophical basis for knowledge acquisition , 1990 .

[12]  Chengqi Zhang,et al.  PRICAI 2004: Trends in Artificial Intelligence , 2004, Lecture Notes in Computer Science.

[13]  Byeong Ho Kang,et al.  Multiple Classification Ripple Down Rules : Evaluation and Possibilities , 2000 .

[14]  Brian R. Gaines,et al.  Comparing conceptual structures: consensus, conflict, correspondence and contrast , 1989 .