International Journal of Man-Machine Studies
Query approximate answering system for an incomplete DKBS
Fundamenta Informaticae - Special issue: intelligent information systems
Reducing Information Systems with Uncertain Attributes
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
Abstraction of Representation for Interoperation
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
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Empirical equations and rules are important classes of regularities that can be discovered in databases. We concentrate on their role as definitions of attribute values. Such definitions can be used in many ways in a single database and for transfer of knowledge between databases. We analyze quests for definitions of an attribute in a given database. A quest triggers a discovery mechanism that specializes in searching recursively a system of databases and returns a set of partial definitions. We introduce the notion of shared operational semantics founded on an equation-based and rule-based system of partial definitions. It gives necessary foundations for designing local query answering systems in a distributed knowledge system (DKS).