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Dynamic knowledge graph evaluation: Semantic and syntactic metrics for evaluating changes
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DOI：10.1016/j.datak.2026.102611.png)
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Abstract
En 中文
• Evaluating changes in knowledge models is resource-intensive. • We introduce novel metrics to automatically assess such changes. • Metrics capture both structural and conceptual quality aspects. • Experiments across domains confirm the metrics’ effectiveness. • Metrics support developers in detecting errors and side effects of changes.
Keywords:
knowledge graph evaluation
structural metrics
conceptual quality
change detection
semantic metrics
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