knowledge graphs ↔ quality assurance

Relations (1)

related 2.00 — strongly supporting 3 facts

Quality assurance is a critical component in the lifecycle of knowledge graphs, as it is required for their initial construction [1], ongoing maintenance during evolution [2], and the implementation of repair strategies to resolve data quality issues [3].

Facts (3)

Sources

Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org arXiv 2 facts

claimQuality assurance in knowledge graphs is the process of maintaining high quality despite continuous evolution, comprising quality evaluation to detect issues and quality improvement to fix, refine, or complete the knowledge graph.

claimQuality Assurance in knowledge graphs involves identifying quality aspects and implementing repair strategies to address data quality problems.

Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org arXiv 1 fact

claimThe construction of high-quality knowledge graphs requires addressing cross-cutting topics including metadata management, ontology development, and quality assurance.