Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
Diego Zardetto , Istituto Nazionale di Statistica, Via Balbo 16, Roma, Italy
Monica Scannapieco , Istituto Nazionale di Statistica, Via Balbo 16, Roma, Italy
Tiziana Catarci , Sapienza Università di Roma, Via Ariosto 25, Italy
Object Matching (OM) is the problem of identifying pairs of data-objects coming from different sources and representing the same real world object. Several methods have been proposed to solve OM problems, but none of them seems to be at the same time fully automated and very effective. In this paper we present a fundamentally new suite of methods that instead possesses both these abilities.
Diego Zardetto, Monica Scannapieco, Tiziana Catarci, "Effective automated Object Matching", ICDE, 2010, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 IEEE 29th International Conference on Data Engineering (ICDE) 2010, pp. 757-768, doi:10.1109/ICDE.2010.5447904