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My bibliography Save this articleA knowledge graph embeddings based approach for author name disambiguation using literals
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DOI: 10.1007/s11192-022-04426-2
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References listed on IDEAS
- Humaira Waqas & Muhammad Abdul Qadir, 2021. "Multilayer heuristics based clustering framework (MHCF) for author name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7637-7678, September.
- Pooja KM & Samrat Mondal & Joydeep Chandra, 2020. "A Graph Combination With Edge Pruning‐Based Approach for Author Name Disambiguation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(1), pages 69-83, January.
- repec:bla:jamist:v:61:y:2010:i:9:p:1853-1870 is not listed on IDEAS
- Yu Liu & Weijia Li & Zhen Huang & Qiang Fang, 2015. "A fast method based on multiple clustering for name disambiguation in bibliographic citations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(3), pages 634-644, March.
- Ricardo G. Cota & Anderson A. Ferreira & Cristiano Nascimento & Marcos André Gonçalves & Alberto H. F. Laender, 2010. "An unsupervised heuristic-based hierarchical method for name disambiguation in bibliographic citations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(9), pages 1853-1870, September.
- KM. Pooja & Samrat Mondal & Joydeep Chandra, 2021. "Exploiting similarities across multiple dimensions for author name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7525-7560, September.
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Cited by:
- Andrea Ancona & Roy Cerqueti & Gianluca Vagnani, 2023. "A novel methodology to disambiguate organization names: an application to EU Framework Programmes data," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4447-4474, August.
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Keywords
Author Name Disambiguation; Bibliographic data; Citation data; Clustering; Knowledge graph embeddings; Open citations;All these keywords.
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