A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Interoperability of multiple autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Processing travel queries in a multimedia information system
Proceedings of the international conference on Information and communications technologies in tourism
Distributed Database Systems
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Intensional Answers to Database Queries
IEEE Transactions on Knowledge and Data Engineering
The Promise of Distributed Computing and the Challenges of Legacy Systems
BNCOD 10 Proceedings of the 10th British National Conference on Databases: Advanced Database Systems
BNCOD 10 Proceedings of the 10th British National Conference on Databases: Advanced Database Systems
A Model for Heterogeneous Distributed Database Systems
BNCOD 12 Proceedings of the 12th British National Conference on Databases: Directions in Databases
Model composition in a distributed environment
Decision Support Systems
A Java API for global querying and updates for a system of databases
Proceedings of the 43rd annual Southeast regional conference - Volume 1
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The problem of retrieving information from a collection ofheterogeneous distributed databases has attracted a number of solutions.However, the task of integrating established database systems is complicatednot only by the differences between the database systems themselves, butalso by the differences in structure and semantics of the informationcontained within them. The problem is exacerbated when one needs to provideaccess to such a system for naive end-users.This paper is concerned with a Knowledge-Based Systems approach tosolving this problem for clearly bounded situations, in which both thedomain and the types of query are constrained. At the user interface,dialogue is conducted in terms of concepts with which the user is familiar,and these are then mapped into appropriate database queries. To achieve thisa model for query decomposition and answer construction has been used. Thismodel is based around the development of an Intensional Structure containinginformation necessary for the recapture of semantic information lost in thequery decomposition process and required in the answer construction process.The model has been successfully implemented in combination with an embeddedKBS, within a five-layer representation model.