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Achieving Rapid Knowledge Acquisition in a High- Volume Call Centre

Ripple Down Rules (RDR) has been applied to a number of domains. In this paper we consider a new application area that presents a number of new challenges. Our application is a high-volume call centre that provides a service / help desk function in a complex problem domain. We propose that the combined use of multiple classification ripple-down-rules (MCRDR) together with a web-enabled hyperlinkrich browser front-end will provide an effective tool to help call-centre knowledge workers cut through the potential information overload presented by both intraand inter-nets; speed up the processes of knowledge acquisition and re-use; and assist with decision support and problem resolution. We consider the implementation issues faced by corporations in their transition from a simple call / defect-tracking model to a much enriched knowledge-centered model and we examine the role MCRDR can play in the call-centre context including workflow integration, accessibility, usability, and incentives. In order to improve the fit with our application area, we suggest a number of variations to the MCRDR theme. Our implementation and evaluation of these ideas is ongoing.