✍ Scribed by Werner Dubitzky; Alex G. Büchner; John G. Hughes; David A. Bell
No coin nor oath required. For personal study only.
Case-based reasoning (CBR) systems de®ne knowledge in terms of a memory or library of past cases and a retrieval mechanism that revolves around retrieving data relevant to a goal query. Additionally, such systems employ an adaptation component that transforms the retrieved data into a solution to the problem expressed by the original query. The combination of goal query and the subsequent solution transformation is referred to as CBR goal query. Goal queries are concerned with data that is close to the request expressed in the query. Conventional relational and objectoriented databases are usually concerned speci®c queries. Extending conventional object-oriented data models, this paper proposes a concept-oriented data model that provides a variety of mechanisms to support conventional goal and CBR goal queries. It is shown that such a concept-oriented data model could be used as the core for a more general knowledge base management system.
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