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pith:BPNAL2DY

pith:2026:BPNAL2DYHLPVBK5WARUNY2RTGD
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Relational Database Data Lineage Ontology

Jakub Dutkiewicz, Pawe{\l} Misiorek, Robert Wrembel

A new ontology adds structural, semantic and transformation details to relational database lineage, improving knowledge-graph link prediction.

arxiv:2605.16068 v1 · 2026-05-15 · cs.DB

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

Experimental results demonstrate that the application of the enriched semantic model leads to improvements in lineage link prediction performance, as measured by AUC and Hits@10 metrics.

C2weakest assumption

The evaluation assumes that any measured improvement in the graph neural network link prediction task is caused by the added ontology concepts rather than differences in graph construction, training details, or dataset characteristics.

C3one line summary

The authors extend a prior ontology for relational database data lineage with new concepts and report improved AUC and Hits@10 scores in graph neural network link prediction on knowledge graphs.

References

38 extracted · 38 resolved · 0 Pith anchors

[1] https://www.ibm.com/topics/data- lineage (Accessed Apr, 2026) 2026
[2] The Journal of Supercomputing80(3) (2023) 2023
[3] Bordes, A., Usunier, N., Garcia-Durán, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Int. Conf. on Neural Informa- tion Processing Systems (NIPS) Volume 2013
[4] In: AIDB Workshop @ VLDB 2025
[5] VLDB Endowment 14(4) (2020) 14 J 2020

Formal links

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Receipt and verification
First computed 2026-05-20T00:01:51.345253Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0bda05e8783adf50abb60468dc6a3330ce8ca22bab62b522aa7dbdf48a0df662

Aliases

arxiv: 2605.16068 · arxiv_version: 2605.16068v1 · doi: 10.48550/arxiv.2605.16068 · pith_short_12: BPNAL2DYHLPV · pith_short_16: BPNAL2DYHLPVBK5W · pith_short_8: BPNAL2DY
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/BPNAL2DYHLPVBK5WARUNY2RTGD \
  | 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: 0bda05e8783adf50abb60468dc6a3330ce8ca22bab62b522aa7dbdf48a0df662
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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