Data used to evaluate ORBITS: Optimal Repair-Based Inconsistency-Tolerant Semantics
| Main Author: | Bourgaux, Camille |
|---|---|
| Format: | info dataset eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2022
|
| Online Access: |
https://zenodo.org/record/5946828 |
Daftar Isi:
- This dataset provides the input files that were used in the evaluation of the ORBITS system (Optimal Repair-Based Inconsistency-Tolerant Semantics, https://github.com/bourgaux/orbits). A detailed description will soon be made available in a technical report. Content: Folders cqapri_benchmark, food_inspection_benchmark, and physicians_benchmark contain JSON files of conflict graphs and candidate queries and their causes. These files are named using the following pattern: files of candidate answers and their causes are named <database>_<query>_answers_causes.json, and conflict graphs are named <database>_conflictGraph_<priority relation>.json where <priority relation> says whether the priority relation is score-structured (prio_score) or not (prio_non_score) and the probability (p<proba>) or number of scores (n<number>) used to build the priority relation. Folder original_datasets_and_queries contains the Food Inspection and Physicians datasets used to generate files from food_inspection_benchmark and physicians_benchmark. Files from cqapri_benchmark have been generated from the CQAPri benchmark available at https://lahdak.lri.fr/CQAPri/CQAPri.php. In all cases, we use ProvSQL (https://github.com/PierreSenellart/provsql) to build conflict graphs and causes from the datasets.