The performance of three database storage structures for managing large objects
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
Supporting dynamic displays using active rules
ACM SIGMOD Record
Case-based reasoning
An overview of agent-oriented programming
Software agents
Machine Learning
Learning to Improve Case Adaption by Introspective Reasoning and CBR
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
EXACT: an extensible approach to active object-oriented databases
The VLDB Journal — The International Journal on Very Large Data Bases
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Many of today's CBR systems are passive in nature: they require human users to activate them manually and to provide information about the incoming problem explicitly. In this paper, we present an integrated system that combines CBR system with an active database system. Active databases, with the support of active rules, can perform event detecting, condition monitoring, and event handling (action execution) in an automatic manner. The combined ActiveCBR system consists of two layers. In the lower layer, the active database is rule-driven; in the higher layer, the result of action execution of active rules is transformed into feature-value pairs required by the CBR subsystem. The layered architecture separates case-based reasoning from complicated rule-based reasoning, and improves the traditional passive CBR system with the active property. This paper shows how to construct ActiveCBR system and provides an analysis of the resulting system architecture.