Knowledge graph visualization fusion method for heterogeneous data from multiple sources

In order to solve the problem of data redundancy conflict and lack of association, a knowledge graph visualization fusion method for multi-source heterogeneous data is studied to improve the reliability of data fusion. The domain ontology database and global ontology database corresponding to multi-...

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Auteurs principaux:	Liang Hao, Fu Da
Format:	Artigo
Langue:	Chinês
Publié:	National Computer System Engineering Research Institute of China 2025-06-01
Collection:	Dianzi Jishu Yingyong
Sujets:	multi-source heterogeneous data knowledge graph visual ization fusion ontology library long short-term memory network conditional random field
Accès en ligne:	http://www.chinaaet.com/article/3000172273
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