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Researchers reviewed literature on quality assessment of data, information, linked data, knowledge graphs, and the intersection of knowledge graphs and large language models, extending current frameworks to a catalog of 24 quality dimensions and various quality metrics, and proposing a general-purpose, customizable, and practical quality assessment framework for knowledge graphs.
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Key sources
- SOURCEarxiv.org