jedi-datasets
This repository contains the experimental data for JSON similarity lookups that are published in the following publication:
@inproceedings{huetter2021jedi,
title = {{JEDI}: These aren't the {JSON} documents you're looking for...},
author = {H{\"u}tter, Thomas and Augsten, Nikolaus and Christoph M, Kirsch and Michael J, Carey and Li, Chen},
year = 2022,
booktitle = {Proceedings of the 2022 International Conference on Management of Data}
}
Fetch, preprocess, and analyze data
The raw JSON datasets are fetched from repositories (see directory raw-data) and converted into bracket notation which serves as the input data for the algorithms (see directory input-data). Further, the characteristics of the JSON datasets are analyzed. All steps are performed by the following script:
sh scripts/download-prepare.sh
This process takes approximately one hour for all datasets. One might consider to exclude datasets that are not needed.
Datasets
The following datasets are included:
- arxiv
- cards
- clothing
- dblp
- denf
- device
- face
- fenf
- movies
- nasa
- nba
- reads
- recipes
- schema
- smsen
- smszh
- spotify
- standev
- stantrain
- trees
- twitter2
- virus