pith:C3SLCKBI
Efficient Temporal Datalog Materialisation for Composite Event Recognition
Mapping fragments of event languages to Temporal Datalog enables one uniform engine for composite event recognition in streams.
arxiv:2605.02488 v2 · 2026-05-04 · cs.AI · cs.DB · cs.LO
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Record completeness
Claims
Our approach yields a uniform composite event recognition mechanism that has the potential to generalise across a wide range of practical event specification languages.
That the practical fragments of event specification languages can be mapped to Temporal Datalog->- while preserving their intended semantics and that Streaming Trigger Graphs maintain both correctness and efficiency gains for streaming data.
Maps practical event languages to Temporal Datalog and introduces Streaming Trigger Graphs for efficient composite event recognition in data streams.
Formal links
Receipt and verification
| First computed | 2026-06-03T01:05:50.846600Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
16e4b1282863e9a2baa6822b4a69f9ced9838f57195a3933e061d14ceff5d56b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/C3SLCKBIMPU2FOVGQIVUU2PZZ3 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 16e4b1282863e9a2baa6822b4a69f9ced9838f57195a3933e061d14ceff5d56b
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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