Chin Y. Chee

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With the current explosion of data, retrieving and integrating information from various sources is a critical problem. Work in multidatabase systems has begun to address this problem, but it has primarily focused on methods for communicating between databases and requires signi cant e ort for each new database added to the system. This paper describes a(More)
LMS s based on semantics of contexts and multiagent systems proposed in Giunchiglia and Ghidini, 1996]. This paper describes a semantics in which agents' propo-sitional belief (DBs) are modeled by a set of local models, and communication between agents (inter-schema constraints) is modeled by imposing a compatibility relation between local models. LMS is(More)
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