Research map / Large language models / Retrieval and knowledge
Combining Rules and Ontologies into Clopen Knowledge Bases
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| translate separable CKB to plain ASP (Clingo) instead of dl-programs (dlvhex) | separable CKB reasoning · OpenStreetMap Vienna | scalability / running time: dl-programs hit 600s timeout at ~13000 facts; ASP translation handled up to 1053335 facts in 87.6 s (P1) | Helped |
| increase number of facts from 145014 to 1053335 (next50 to next250) | CKB-to-ASP translation · OpenStreetMap Vienna, P1 | running time (s): 19.6 -> 87.6 | Hurt |
Closest papers by meaning
- Resilient Logic Programs: Answer Set Programs Challenged by Ontologies (AAAI 2020 · similarity 0.90)
- Expressive Recursive Answers for Ontological Knowledge Bases (AAAI 2026 · similarity 0.89)
- Data Complexity of Querying Description Logic Knowledge Bases Under Cost-Based Semantics (AAAI 2026 · similarity 0.88)
- Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases (AAAI 2025 · similarity 0.88)
- Stable Model Semantics for Description Logic Terminologies (AAAI 2024 · similarity 0.86)
- Spectra of Cardinality Queries over Description Logic Knowledge Bases (AAAI 2025 · similarity 0.85)
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