Identifying approximately duplicate database records that refer to the same entity is essential for information integration. The authors compare and describe methods for combining and learning textual similarity measures for name matching.

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IEEE Intelligent Systems, Vol. 18, 5 (2003), pp. 16-23.

@article{bilenko:ieeeis03, title={Adaptive Name-Matching in Information Integration}, author={Mikhail Bilenko and William W. Cohen and Stephen Fienberg and Raymond J. Mooney and Pradeep Ravikumar}, volume={18}, journal={IEEE Intelligent Systems}, number={5}, pages={16-23}, url="http://www.cs.utexas.edu/users/ai-lab?bilenko:ieeeis03", year={2003} }