KGI-Bench evaluates data integration pipelines into knowledge graphs using coverage, correctness, and consistency metrics on movie domain datasets with 12 pipelines tested.
Semantic Web7(1), 63–93 (2016)
3 Pith papers cite this work. Polarity classification is still indexing.
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cs.AI 3years
2026 3representative citing papers
The paper releases a benchmark of ten life-insurance contracts, a domain ontology, and 58 evidence-linked scenarios that shows ontology-driven knowledge graph queries produce more consistent and diagnosable gap/overlap results than text-only LLM inference.
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Evaluation of Pipelines for Data Integration into Knowledge Graphs
KGI-Bench evaluates data integration pipelines into knowledge graphs using coverage, correctness, and consistency metrics on movie domain datasets with 12 pipelines tested.
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A Benchmark for Gap and Overlap Analysis as a Test of KG Task Readiness
The paper releases a benchmark of ten life-insurance contracts, a domain ontology, and 58 evidence-linked scenarios that shows ontology-driven knowledge graph queries produce more consistent and diagnosable gap/overlap results than text-only LLM inference.
- Discoverable Agent Knowledge -- A Formal Framework for Agentic KG Affordances (Extended Version)