Review of Deep Learning-Based Entity Alignment Methods
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9893-7_5
Reference19 articles.
1. Huang, H., Li, C., Peng, X., et al.: Cross-knowledge-graph entity alignment via relation prediction. Knowl.-Based Syst. 240, 10781 (2022)
2. Euzenat, J., Ferrara, A., Hollink, L., et al.: Results of the ontology alignment evaluation initiative 2009 (2010)
3. Sarawagi, S., Bhamidipaty, A.: Interactive deduplication using active learning. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 269–278 (2002)
4. Cohen, W.W., Richman, J.: Learning to match and cluster large high-dimensional data sets for data integration. In: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 475–480 (2002)
5. Jean-Mary, Y.R., Shironoshita, E.P., Kabuka, M.R.: Ontology matching with semantic verification. J. Web Semant. 7(3), 235–251 (2009)
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