Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Guest Editor's Introduction-Intelligent Systems in Biology: Why the Excitement?
IEEE Intelligent Systems
Laws of Software Evolution Revisited
EWSPT '96 Proceedings of the 5th European Workshop on Software Process Technology
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Industrial-strength schema matching
ACM SIGMOD Record
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Online and offline data is the key to Intelligence Agents, but these data cannot be fully analyzed due to the wealth and complexity and non-integrated nature of the information available. In the field of security and intelligence, there is a huge number of data coming from heterogonous data sources in different formats. The integration and the management of these data are very costly and time consuming. The result is a great need for dynamic integration of these intelligent data. In this paper, we propose a complete model that integrates different online and offline data sources. This model takes part between the data sources and our applications.