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Evolving Data Integration Systems: Automation and Learning for Improved Management

Explore building self-managing data integration systems that automate tasks, repair failures, and learn from users, advancing schema matching and global schema construction. This project aims to facilitate the deployment and interaction of DI systems with autonomic computing, advancing the field towards enhanced integration and management over time.

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Evolving Data Integration Systems: Automation and Learning for Improved Management

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  1. CAREER: Evolving and Self-Managing Data Integration SystemsIIS-0347903, 06/2004 – 06/2009AnHai Doan, University of Illinois, Urbana Build DI systems that learn to evolve and manage over time • Automate key labor-intensive tasks • Detect and repair system failures • Learning from users to assist DI tasks • Schema matching [SIGMOD 04, ICDE 05] • Global schema construction [SIGMOD 04] • Learning from users [ICDE 05 (poster)] • Special issues on semantic integration: [SIGMOD Record 04, AI Magazine 05] The system can learn from many types of information and entities in the environment to evolve and self manage Combine database and AI techniques past integration efforts user populations external schemas other systems structured data text D1 integration task1 D2 integration task2 data consumers M data producers • A next logical step in DI research agenda • Facilitate widespread deployment of DI systems • Interact with research in autonomic computing integration task3 Dn database tasks (e.g., schema design)

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