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Efficient Extraction of EL-Ontology Deductive Modules
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use ForMod to compute pseudo-minimal modules instead of Zoom | Deductive module extraction · Snomed CT 2016, 50 concepts | success rate: 57.1 -> 83.8 | Helped |
| Use ForMod to compute pseudo-minimal modules instead of Zoom | Deductive module extraction · Snomed CT 2016, 100 concepts | success rate: 32.5 -> 79.2 | Helped |
| Use ForMod to compute pseudo-minimal modules instead of Zoom | Deductive module extraction · NCI 16.03d, 50 concepts | success rate: 79.0 -> 92.3 | Helped |
| Use ForMod to compute pseudo-minimal modules instead of Zoom | Deductive module extraction · NCI 16.03d, 100 concepts | success rate: 57.3 -> 74.2 | Helped |
| Use ForMod rather than Zoom for pseudo-minimal module computation | EL-terminology minimal-module extraction on shared successful cases · Snomed CT 2016, 50 concepts | mean runtime (s): 186.04 -> 1.77 | Helped |
| Use ForMod rather than Zoom for pseudo-minimal module computation | EL-terminology minimal-module extraction on shared successful cases · Snomed CT 2016, 100 concepts | mean runtime (s): 302.24 -> 2.18 | Helped |
| Use ForMod rather than Zoom for pseudo-minimal module computation | EL-terminology minimal-module extraction on shared successful cases · NCI 16.03d, 50 concepts | mean runtime (s): 91.08 -> 1.32 | Helped |
| Use ForMod rather than Zoom for pseudo-minimal module computation | EL-terminology minimal-module extraction on shared successful cases · NCI 16.03d, 100 concepts | mean runtime (s): 145.32 -> 1.47 | Helped |
| Compute complete modules using ForMod rather than ⊥⊤*-modules | EL-ontology deductive module extraction · Snomed CT 2016, 50 concepts | mean module size: 6628.21 -> 74.53 | Helped |
| Compute complete modules using ForMod rather than ⊥⊤*-modules | EL-ontology deductive module extraction · Snomed CT 2016, 100 concepts | mean module size: 13159.89 -> 140.68 | Helped |
| Compute complete modules using ForMod rather than ⊥⊤*-modules | EL-ontology deductive module extraction · NCI 16.03d, 50 concepts | mean module size: 5560.64 -> 52.02 | Helped |
| Compute complete modules using ForMod rather than ⊥⊤*-modules | EL-ontology deductive module extraction · NCI 16.03d, 100 concepts | mean module size: 7327.67 -> 73.91 | Helped |
Closest papers by meaning
- Small Is Beautiful: Computing Minimal Equivalent EL Concepts (AAAI 2017 · similarity 0.87)
- Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond) (AAAI 2024 · similarity 0.86)
- Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis (AAAI 2024 · similarity 0.85)
- End-to-End Ontology Learning with Large Language Models (NeurIPS 2024 · similarity 0.84)
- Stable Model Semantics for Description Logic Terminologies (AAAI 2024 · similarity 0.84)
- Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases (AAAI 2025 · similarity 0.83)
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