Adaptive Name Matching in Information Integration

	This Article
	Subscribers, please Login Purchase article: $19 PDF HTML IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Mikhail Bilenko Articles by Raymond Mooney Articles by William Cohen Articles by Pradeep Ravikumar Articles by Stephen Fienberg

September/October 2003 (vol. 18 no. 5)

pp. 16-23

	ASCII Text	x
	Mikhail Bilenko, Raymond Mooney, William Cohen, Pradeep Ravikumar, Stephen Fienberg, "Adaptive Name Matching in Information Integration," IEEE Intelligent Systems, vol. 18, no. 5, pp. 16-23, September/October, 2003.

	BibTex	x
	@article{ 10.1109/MIS.2003.1234765, author = {Mikhail Bilenko and Raymond Mooney and William Cohen and Pradeep Ravikumar and Stephen Fienberg}, title = {Adaptive Name Matching in Information Integration}, journal ={IEEE Intelligent Systems}, volume = {18}, number = {5}, issn = {1541-1672}, year = {2003}, pages = {16-23}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2003.1234765}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Intelligent Systems TI - Adaptive Name Matching in Information Integration IS - 5 SN - 1541-1672 SP16 EP23 EPD - 16-23 A1 - Mikhail Bilenko, A1 - Raymond Mooney, A1 - William Cohen, A1 - Pradeep Ravikumar, A1 - Stephen Fienberg, PY - 2003 KW - database integration KW - text mining KW - machine learning KW - similarity measures VL - 18 JA - IEEE Intelligent Systems ER -

Mikhail Bilenko, University of Texas at Austin

Raymond Mooney, University of Texas at Austin

William Cohen, Carnegie Mellon University

Pradeep Ravikumar, Carnegie Mellon University

Stephen Fienberg, Carnegie Mellon University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2003.1234765

Identifying approximately duplicate database records that refer to the same entity is essential for information integration. The authors review traditional approaches to solving this problem and present their recent experimental results on comparing, combining, and learning textual similarity measures for name matching.

Index Terms:

database integration, text mining, machine learning, similarity measures

Citation:

Mikhail Bilenko, Raymond Mooney, William Cohen, Pradeep Ravikumar, Stephen Fienberg, "Adaptive Name Matching in Information Integration," IEEE Intelligent Systems, vol. 18, no. 5, pp. 16-23, Sep./Oct. 2003, doi:10.1109/MIS.2003.1234765

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.