5947125
doi
10.5281/zenodo.5947125
oai:zenodo.org:5947125
Data used to evaluate ORBITS: Optimal Repair-Based Inconsistency-Tolerant Semantics
Bourgaux, Camille
CNRS
url:https://github.com/bourgaux/orbits
url:https://arxiv.org/abs/2202.07980
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>This dataset provides the input files that were used in the evaluation of the ORBITS system (Optimal Repair-Based Inconsistency-Tolerant Semantics, <a href="https://github.com/bourgaux/orbits">https://github.com/bourgaux/orbits</a>). A detailed description is available in a technical report on arXiv (<a href="https://arxiv.org/abs/2202.07980">https://arxiv.org/abs/2202.07980</a>).</p>
<p><strong>Content:</strong></p>
<p>Folders <em>cqapri_benchmark</em>, <em>food_inspection_benchmark</em>, and <em>physicians_benchmark</em> contain JSON files of conflict graphs and candidate queries and their causes.<br>
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.</p>
<p>Folder <em>original_datasets_and_queries</em> contains the Food Inspection and Physicians datasets used to generate files from <em>food_inspection_benchmark</em> and <em>physicians_benchmark</em>.<br>
Files from <em>cqapri_benchmark</em> have been generated from the CQAPri benchmark available at <a href="https://lahdak.lri.fr/CQAPri/CQAPri.php">https://lahdak.lri.fr/CQAPri/CQAPri.php</a>.<br>
In all cases, we use ProvSQL (<a href="https://github.com/PierreSenellart/provsql">https://github.com/PierreSenellart/provsql</a>) to build conflict graphs and causes from the datasets.</p>
Zenodo
2022-02-02
info:eu-repo/semantics/other
5946827
1
award_title=Intelligent handling of imperfect data; award_number=ANR-19-CHIA-0014; funder_id=00rbzpz17; funder_name=Agence Nationale de la Recherche;
1645109951.49468
1697105976
md5:76097072cfb40cf1fba7150edd0041e2
https://zenodo.org/records/5947125/files/orbits-experimental-data.zip
public
https://github.com/bourgaux/orbits
Is cited by
url
https://arxiv.org/abs/2202.07980
Is cited by
url
10.5281/zenodo.5946827
isVersionOf
doi