Y. Altowim, D. V. Kalashnikov, and S. Mehrotra, Progressive approach to relational entity resolution, Proceedings of the VLDB Endowment, vol.7, issue.11, pp.999-1010, 2014.
DOI : 10.14778/2732967.2732975
URL : http://www.vldb.org/pvldb/vol7/p999-altowim.pdf

O. Benjelloun, H. Garcia-molina, D. Menestrina, Q. Su, S. E. Whang et al., Swoosh: a generic approach to entity resolution, The VLDB Journal, vol.26, issue.8, pp.255-276, 2009.
DOI : 10.1007/s00778-008-0098-x
URL : http://infolab.stanford.edu/serf/swoosh_vldbj.pdf

I. Bhattacharya and L. Getoor, Collective entity resolution in relational data, ACM Transactions on Knowledge Discovery from Data, vol.1, issue.1, 2007.
DOI : 10.1145/1217299.1217304
URL : http://drum.lib.umd.edu/bitstream/1903/4241/1/umi-umd-4070.pdf

C. Böhm, G. De-melo, F. Naumann, and G. Weikum, LINDA, Proceedings of the 21st ACM international conference on Information and knowledge management, CIKM '12, 2012.
DOI : 10.1145/2396761.2398582

S. Chaudhuri, V. Ganti, and R. Kaushik, A Primitive Operator for Similarity Joins in Data Cleaning, 22nd International Conference on Data Engineering (ICDE'06), 2006.
DOI : 10.1109/ICDE.2006.9

V. Christophides, V. Efthymiou, and K. Stefanidis, Entity Resolution in the Web of Data. Synthesis Lectures on the Semantic Web: Theory and Technology, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01191691

X. L. Dong and D. Srivastava, Big Data Integration. Synthesis Lectures on Data Management, 2015.

V. Efthymiou, G. Papadakis, G. Papastefanatos, K. Stefanidis, and T. Palpanas, Parallel meta-blocking: Realizing scalable entity resolution over large, heterogeneous data, 2015 IEEE International Conference on Big Data (Big Data), 2015.
DOI : 10.1109/BigData.2015.7363782

V. Efthymiou, K. Stefanidis, and V. Christophides, Big data entity resolution: From highly to somehow similar entity descriptions in the Web, 2015 IEEE International Conference on Big Data (Big Data), 2015.
DOI : 10.1109/BigData.2015.7363781
URL : https://hal.archives-ouvertes.fr/hal-01199399

L. Galárraga, G. Heitz, K. Murphy, and F. M. Suchanek, Canonicalizing Open Knowledge Bases, Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM '14, 2014.
DOI : 10.1017/CBO9780511809071

M. Herschel, F. Naumann, S. Szott, and M. Taubert, Scalable Iterative Graph Duplicate Detection, IEEE Transactions on Knowledge and Data Engineering, vol.24, issue.11, pp.2094-2108, 2012.
DOI : 10.1109/TKDE.2011.99
URL : https://hal.archives-ouvertes.fr/hal-00757604

R. Isele, A. Jentzsch, and C. Bizer, Efficient multidimensional blocking for link discovery without losing recall, WebDB, 2011.

L. Kolb, A. Thor, and E. Rahm, Dedoop, Proceedings of the VLDB Endowment, vol.5, issue.12, pp.1878-1881, 2012.
DOI : 10.14778/2367502.2367527

I. Miliaraki, K. Berberich, R. Gemulla, and S. Zoupanos, Mind the gap, Proceedings of the 2013 international conference on Management of data, SIGMOD '13, 2013.
DOI : 10.1145/2463676.2465285

G. Papadakis, E. Ioannou, C. Niederée, T. Palpanas, and W. Nejdl, Beyond 100 million entities, Proceedings of the fifth ACM international conference on Web search and data mining, WSDM '12, 2012.
DOI : 10.1145/2124295.2124305

G. Papadakis, E. Ioannou, T. Palpanas, C. Niederée, and W. Nejdl, A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces, IEEE Transactions on Knowledge and Data Engineering, vol.25, issue.12, pp.2665-2682, 2013.
DOI : 10.1109/TKDE.2012.150

G. Papadakis, G. Koutrika, T. Palpanas, and W. Nejdl, Meta-Blocking: Taking Entity Resolutionto the Next Level, IEEE Transactions on Knowledge and Data Engineering, vol.26, issue.8, pp.1946-1960, 2014.
DOI : 10.1109/TKDE.2013.54

T. Papenbrock, A. Heise, and F. Naumann, Progressive Duplicate Detection, IEEE Transactions on Knowledge and Data Engineering, vol.27, issue.5, pp.1316-1329, 2015.
DOI : 10.1109/TKDE.2014.2359666

V. Rastogi, N. N. Dalvi, and M. N. Garofalakis, Large-scale collective entity matching, Proceedings of the VLDB Endowment, vol.4, issue.4, pp.208-218, 2011.
DOI : 10.14778/1938545.1938546
URL : http://arxiv.org/pdf/1103.2410

M. Schmachtenberg, C. Bizer, and H. Paulheim, Adoption of the Linked Data Best Practices in Different Topical Domains, ISWC, pp.245-260, 2014.
DOI : 10.1007/978-3-319-11964-9_16

S. E. Whang, D. Marmaros, and H. Garcia-molina, Pay-As-You-Go Entity Resolution, IEEE Transactions on Knowledge and Data Engineering, vol.25, issue.5, pp.1111-1124, 2013.
DOI : 10.1109/TKDE.2012.43

C. Xiao, W. Wang, X. Lin, J. X. Yu, and G. Wang, Efficient similarity joins for near-duplicate detection, ACM Trans. Database Syst, vol.36, issue.3, p.15, 2011.
DOI : 10.1145/2000824.2000825
URL : http://www.cse.unsw.edu.au/%7Eweiw/files/TODS-PPJoin-Final.pdf

Y. Zhen, P. Rai, H. Zha, and L. Carin, Cross-modal similarity learning via pairs, preferences, and active supervision, AAAI, pp.3203-3209, 2015.