Active Learning Framework for Improving Knowledge Graph Accuracy

Active Learning Framework for Improving Knowledge Graph Accuracy

Knowledge graphs are graph-structured data models that provide a robust scheme for representing real-world relational facts with structured triples. The structural and factual information in knowledge graphs are extensively leveraged in various downstream applications. Unfortunately, knowledge graph...

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Bibliographic Details
Main Authors: Donghyun Kim, Hyeongjun Yang, Seokju Hwang, Kyuhwan Yeom, Midan Shim, Kyong-Ho Lee
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Active learning
data cleaning
knowledge graph accuracy
Online Access:https://ieeexplore.ieee.org/document/10926193/
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