AnHai Doan

Adjunct Assistant Professor
PhD, University of Washington, 2002

Research Area: Database and Information Systems

Research Interests: Databases, data integration and sharing, data mining, information discovery on the Web, schema matching, machine learning.

Research Group: Database and Information Systems

Research Statement

My research focuses on information management, with an emphasis on the efficient extraction, integration, and mining of data. Specific problems that I'm working on are: learning the characteristics of data sources, finding semantic correspondences between the source schemas (e.g., do "our-price" at BarnesandNoble and "listed-price" at "Amazon.com" refer to the same real-world concept?), discovering information on the Internet, and developing techniques to efficiently construct and maintain large-scale data integration systems. I extend database and AI (e.g., machine learning) techniques to attack these problems, then build systems in various application domains (e.g., Web, text, bio-informatics) to validate the solutions. The ultimate goals are to transform the Web into a vast collection of structured data sources, and to achieve the widespread use of intelligent systems that efficiently share data across these distributed and heterogeneous sources, with minimal human coaching and supervision.

Representative Publications

A. Doan, P. Domingos, and A. Halevy. Reconciling Schemas of Disparate Data Sources: A Machine Learning Approach. Proceedings of the ACM SIGMOD Conf. on Management of Data (SIGMOD-2001).
A. Doan, J. Madhavan, P. Domingos, and A. Halevy. Learning to Map between Ontologies on the Semantic Web. Proceedings of the World-Wide Web Conference (WWW-2002).
A. Doan and A. Halevy. Efficiently Ordering Query Plans for Data Integration. Proceedings of the 18^th IEEE Int. Conf. on Data Engineering (ICDE-2002).

Honors and Awards

ACM Dissertation Award (2004), NSF CAREER Award (2004).

Home Page: http://anhai.cs.uiuc.edu/home/

Email: anhai@cs.uiuc.edu