This paper describes the development of the generic collaboration support architecture CAKE incorporating case-based reasoning (CBR). CAKE provides unified access to knowledge available within an organization, and CBR technology is used throughout the system to distribute this knowledge to agents as required. Adaptive workflows and collaboration patterns selected by a CBR process are introduced for explicitly describing collaboration among agents. In order to guide the technical design of the architecture, a systematic analysis of the requirements for collaboration support has been performed in various application domains.
In the CBR literature from the past 25 years there is a considerable amount of research work that makes use of cases that are subspaces of some representation space rather than points in it. For cases of that kind, different terms have been used such as generalized case, prototype, schema, script, or abstract case. Our analysis of selected publications yields that on the one hand the same term is used for different concepts and on the other hand different terms are used for more or less the same concepts. So our goal is to improve the conceptual clarity by proposing an integrated classification schema for cases. We then use this schema to describe semantically founded ways for similarity definition and computation, depending on the class membership of query and case.
Independent from specific application domains, similar requirements can be identified regarding information needs during daily work. For coping with generality on the one hand and domain specificity on the other hand the Collaborative Agent-based Knowledge Engine CAKE is currently developed that combines agent and workflow technology in an innovative way. Agent technology is used for integrating various services, whereas workflow technology is used for coordinating collaboration among agents.
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