GL-RF: a reconciliation framework for label-free entity resolution

Yaoli XU, Zhanhuai LI, Qun CHEN, Fengfeng FAN

PDF(219 KB)
PDF(219 KB)
Front. Comput. Sci. ›› 2018, Vol. 12 ›› Issue (5) : 1035-1037. DOI: 10.1007/s11704-018-7285-8
LETTER

GL-RF: a reconciliation framework for label-free entity resolution

Author information +
History +

Cite this article

Download citation ▾
Yaoli XU, Zhanhuai LI, Qun CHEN, Fengfeng FAN. GL-RF: a reconciliation framework for label-free entity resolution. Front. Comput. Sci., 2018, 12(5): 1035‒1037 https://doi.org/10.1007/s11704-018-7285-8

References

[1]
Konda P, Das S, Suganthan G C P, Doan A, Ardalan A, Ballard J R, Li H, Panahi F, Zhang H J, Naughton J F, Prasad S, Krishnan G, Deep R, Raghavendra V. Magellan: toward building entity matching management systems. Proceedings of the VLDB Endowment, 2016, 9(12): 1197–1208
CrossRef Google scholar
[2]
Li L L, Li J Z, Gao H. Rule-based method for entity resolution. IEEE Transactions on Knowledge and Data Engineering, 2015, 27(1): 250–263
CrossRef Google scholar
[3]
Fan F F, Li Z H, Chen Q, Liu H L. An outlier-detection based approach for automatic entity matching. Chinese Journal of Computers, 2017, 40(10): 2197–2211
[4]
Guha S, Koudas N, Marathe A, Srivastava D. Merging the results of approximate match operations. In: Proceedings of the 30th International Conference on Very Large Data Bases. 2004, 636–647
CrossRef Google scholar
[5]
Dey D, Sarkar S, De P. Entity matching in heterogeneous databases: a distance based decision model. In: Proceedings of the 31st Annual Hawaii International Conference on System Sciences. 1998, 305–313
CrossRef Google scholar
[6]
Rajaraman A, Ullman J D. Mining of Massive Datasets. Cambridge: Cambridge University Press, 2011
CrossRef Google scholar
[7]
Schölkopf B, Platt J C, Shawe-Taylor J, Smola A J, Williamson R C. Estimating the support of a high-dimensional distribution. Neural Computation, 2001, 13(7): 1443–1471
CrossRef Google scholar
[8]
Papadakis G, Koutrika G, Palpanas T, Nejdl W. Meta-blocking: taking entity resolution to the next level. IEEE Transactions on Knowledge and Data Engineering, 2014, 26(8): 1946–1960
CrossRef Google scholar
[9]
Christen P. Febrl: a freely available record linkage system with a graphical user interface. In: Proceedings of the 2nd Australasian Workshop on Health Data and Knowledge Management. 2008, 17–25
CrossRef Google scholar

RIGHTS & PERMISSIONS

2018 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature
AI Summary AI Mindmap
PDF(219 KB)

Accesses

Citations

Detail

Sections
Recommended

/