STEM: Stacked threshold-based entity matching for knowledge base generation

Author:

Palumbo Enrico123,Rizzo Giuseppe1,Troncy Raphaël2

Affiliation:

1. Istituto Superiore Mario Boella, Turin, Italy

2. EURECOM, Sophia Antipolis, France

3. Politecnico di Torino, Turin, Italy

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference58 articles.

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2. M. Al-Bakri, M. Atencia, J. David, S. Lalande and M.-C. Rousset, Uncertainty-sensitive reasoning for inferring sameAs facts in linked data, in: 22nd European Conference on Artificial Intelligence (ECAI), IOS Press, 2016, pp. 698–706.

3. I. Androutsopoulos, J. Koutsias, K.V. Chandrinos and C.D. Spyropoulos, An experimental comparison of naive Bayesian and keyword-based anti-spam filtering with personal e-mail messages, in: 23rd International Conference on Research and Development in Information Retrieval (SIGIR), 2000, pp. 160–167.

4. G.V. Bard, Spelling-error tolerant, order-independent pass-phrases via the Damerau-Levenshtein string-edit distance metric, in: 5th Australasian Symposium on ACSW Frontiers, 2007.

5. Swoosh: A generic approach to entity resolution;Benjelloun;The VLDB Journal – The International Journal on Very Large Data Bases,2009

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