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High-Level Why-Not Explanations using Ontologies

Summary: Ontology-based framework for high-level why-not explanations that finds most-general explanations using external or automatically derived (virtual) ontologies. Complexity: existence NP-complete; polynomial algorithms for bounded-arity queries with DL‑Lite ontologies and for virtual ontologies under selection-free or fixed-schema assumptions, with treatment of short explanations. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1650
Venue
PODS
Year
2015
Pagerank
5.5178123e-05
Overall Rank
5,418 | 62.31%
DOI
10.1145/2745754.2745765

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