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
Intelligent integration of information
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
SQL and management of external data
ACM SIGMOD Record
Middle-tier database caching for e-business
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
ACM SIGMOD Record
Don't Scrap It, Wrap It! A Wrapper Architecture for Legacy Data Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Efficiently Publishing Relational Data as XML Documents
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Querying XML Views of Relational Data
Proceedings of the 27th International Conference on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Using flows in information integration
IBM Systems Journal
XTABLES: Bridging relational technology and XML
IBM Systems Journal
Data integration through database federation
IBM Systems Journal
Information integration: A research agenda
IBM Systems Journal
IBM Systems Journal
The INFOMIX system for advanced integration of incomplete and inconsistent data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
An ontology based approach to the integration of entity-relationship schemas
Data & Knowledge Engineering - Special issue: ER 2004
Informatica
Data integration and answer set programming
LPNMR'05 Proceedings of the 8th international conference on Logic Programming and Nonmonotonic Reasoning
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Information integration provides a competitive advantage to businesses and is fundamental to on demand computing. It is strategic area of investment by software companies today whose goal is to provide a unified view of the data regardless of differences in data format, data location and access interfaces, dynamically manage data placement to match availability, currency and performance requirements, and provide autonomic features that reduce the burden on IT staffs for managing complex data architectures. This paper describes the motivation for integrating information for on demand computing, explains its requirements, and illustrates its value through usage scenarios. As shown in the paper, there is still a tremendous amount of research, engineering, and development work needed to make the full information integration vision a reality and it is expected that software companies will continue to heavily invest in aggressively pursing the information integration vision.