AI RESEARCH
A Benchmark for Gap and Overlap Analysis as a Test of KG Task Readiness
arXiv CS.AI
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ArXi:2604.10853v1 Announce Type: new Task-oriented evaluation of knowledge graph (KG) quality increasingly asks whether an ontology-based representation can answer the competency questions that users actually care about, in a manner that is reproducible, explainable, and traceable to evidence. This paper adopts that perspective and focuses on gap and overlap analysis for policy-like documents (e.g., insurance contracts), where given a scenario, which documents it (overlap) and which do not (gap), with defensible justifications.