Continuous Knowledge Graph Refinement With Confidence Propagation

Although Knowledge Graphs (KGs) are widely used, they suffer from hosting false information. In the literature, many studies have been carried out to eliminate this deficiency. These studies correct triples, relations, relation types, and literal values or enrich the KG by generating new triples and...

書誌詳細
出版年:	IEEE Access
主要な著者:	Alisettar Huseynli, M. Ali Akcayol
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2023-01-01
主題:	Continuous refinement knowledge graph refinement propagation triple confidence
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10145589/

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