Declarative Debugging for Datalog with Aggregation
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
We propose summary proof trees as a way for explaining derivations in Datalog programs with aggregation. These combine structurally similar parts of proof trees into a single, easier to understand structure. We show how to query for such summaries, discuss the implementation in our rule engine Nemo, and empirically establish the feasibility of the method. We also briefly introduce a graphical interface for editing these proof queries and visualising the results.
Details
| Original language | English |
|---|---|
| Title of host publication | EDBT/ICDT 2026 Workshops |
| Number of pages | 14 |
| Publication status | Published - 2026 |
| Peer-reviewed | Yes |
Publication series
| Series | CEUR Workshop Proceedings |
|---|---|
| Volume | 4192 |
| ISSN | 1613-0073 |
Conference
| Title | Joint Conference of the 29th International Conference on Extending Database Technology & the 29th International Conference on Database Theory |
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| Abbreviated title | EDBT/ICDT 2026 |
| Duration | 24 - 27 March 2026 |
| Website | |
| Location | Tampere University |
| City | Tampere |
| Country | Finland |
External IDs
| ORCID | /0000-0002-2176-876X/work/223384435 |
|---|---|
| ORCID | /0000-0002-1604-6308/work/223384671 |
| ORCID | /0000-0003-1029-7656/work/223385302 |
| ORCID | /0000-0003-1479-0341/work/223385688 |