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

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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Bibliographic Details
Main Authors: Hongming Zhu, Xiaowen Wang, Yizhi Jiang, Hongfei Fan, Bowen Du, Qin Liu
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Entropy
Subjects:
knowledge graph
instance matching
blocking algorithm
FTRL
Online Access:https://www.mdpi.com/1099-4300/23/5/602

Internet

https://www.mdpi.com/1099-4300/23/5/602

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