Entity Resolution in Sparse Encounter Network Using Markov Logic Network

Entity Resolution in Sparse Encounter Network Using Markov Logic Network

Entity Resolution, which identifies different descriptions referring to the same real-world entity, is a fundamental stage in data integration process essential for quality data analysis. Identities recognition is important in encounter network as it defines the entities of encounters. It is usually...

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Bibliographic Details
Main Authors: Christian Lu, Guangyan Huang, Yong Xiang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Encounter network
entity resolution
Markov logic network
record linkage
spatiotemporal inference
Online Access:https://ieeexplore.ieee.org/document/9446925/

Internet

https://ieeexplore.ieee.org/document/9446925/

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