A query based approach for integrating heterogeneous data sources
Proceedings of the ninth international conference on Information and knowledge management
Agent-based processing of navigational queries in INFOWEAVER
Information organization and databases
ADBIS-DASFAA '00 Proceedings of the East-European Conference on Advances in Databases and Information Systems Held Jointly with International Conference on Database Systems for Advanced Applications: Current Issues in Databases and Information Systems
Semantic Integration and Querying of Heterogeneous Data Sources Using a Hypergraph Data Model
BNCOD 19 Proceedings of the 19th British National Conference on Databases: Advances in Databases
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
Bioinformatics integration and agent technology
Journal of Biomedical Informatics
A strategy to develop adaptive and interactive query brokers
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
ACM Computing Surveys (CSUR)
Data & Knowledge Engineering
Exploring data integration strategies for public sector cloud solutions
EGOVIS'12/EDEM'12 Proceedings of the 2012 Joint international conference on Electronic Government and the Information Systems Perspective and Electronic Democracy, and Proceedings of the 2012 Joint international conference on Advancing Democracy, Government and Governance
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Multimedia technology, global information infrastructures and other developments allow users to access more and more information sources of various types. However, the “technical” availability alone (by means of networks, WWW, mail systems, databases, etc.) is not sufficient for making meaningful and advanced use of all information available on-line. Therefore, the problem of effectively and efficiently accessing and querying heterogeneous and distributed data sources is an important research direction. This paper aims at classifying existing approaches which can be used to query heterogeneous data sources. We consider one of the approaches — the mediated query approach — in more detail and provide a classification framework for it as well.