Research map / Learning theory and algorithms / Combinatorial and search optimization
Materialisation-Based Reasoning in DatalogMTL with Bounded Intervals
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use saturation detection and unfolding instead of continuing materialisation or switching to automata-based reasoning | DatalogMTL reasoning on LUBM temporal extension · LUBM temporal extension | running time | Helped |
| Use saturation detection and unfolding instead of continuing materialisation or switching to automata-based reasoning | DatalogMTL reasoning on iTemporal · iTemporal | running time | Helped |
| Add saturation checks during materialisation | Proposed approach · LUBM temporal extension | materialisation running time | No clear effect |
| Increase dataset size | Proposed approach · LUBM temporal extension | running time | Mixed |
| Increase the number of constants rather than the temporal range | Proposed approach · LUBM temporal extension | running time: around twice smaller | Hurt |
| Increase dataset size | Proposed approach · iTemporal | running time | Hurt |
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