A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
Towards intelligent integration of heterogeneous information sources
Database reengineering and interoperability
Query approximate answering system for an incomplete DKBS
Fundamenta Informaticae - Special issue: intelligent information systems
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
An Integrated Framework for Empirical Discovery
Machine Learning
Abstraction of Representation for Interoperation
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
Foundations and Discovery of Operational Definitions
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Collaborative Query Processing in DKS Controlled by Reducts
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
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Empirical equations are an important class of regularities that can be discovered in databases. In this paper we concentrate on the role of equations as definitions of attribute values. Such definitions can be used in many ways that we briefly describe. We present a discovery mechanism that specializes in finding equations that can be used as definitions. We introduce the notion of shared operational semantics. It consists of an equation-based system of partial definitions and it is used as a tool for knowledge exchange between independently built databases. This semantics augments the earlier developed semantics for rules used as attribute definitions. To put the shared operational semantics on a firm theoretical foundation we developed a formal interpretation which justifies empirical equations in their definitional role.