FTRLIM: Distributed Instance Matching Framework for Large-Scale Knowledge Graph Fusion

Instance matching is a key task in knowledge graph fusion, and it is critical to improving the efficiency of instance matching, given the increasing scale of knowledge graphs. Blocking algorithms selecting candidate instance pairs for comparison is one of the effective methods to achieve the goal. I...

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Detalles Bibliográficos
Autores principales: Zhu, Hongming, Wang, Xiaowen, Jiang, Yizhi, Fan, Hongfei, Du, Bowen, Liu, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153108/
https://www.ncbi.nlm.nih.gov/pubmed/34068208
http://dx.doi.org/10.3390/e23050602

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153108/
https://www.ncbi.nlm.nih.gov/pubmed/34068208
http://dx.doi.org/10.3390/e23050602

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