Kgastor: a Privacy By Design Knowledge Graph anonymized Store
- DOI
- 10.1109/trustcom56396.2022.00096
- Published
- 2022-12
- Container
- 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
- Publisher
- IEEE
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/trustcom56396.2022.00096,
title = {Kgastor: a Privacy By Design Knowledge Graph anonymized Store},
author = {Maxime Thouvenot and Philippe Calvez and Olivier Curé},
year = {2022},
journal = {2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)},
doi = {10.1109/trustcom56396.2022.00096},
url = {https://doi.org/10.1109/trustcom56396.2022.00096}
}RIS
TY - JOUR TI - Kgastor: a Privacy By Design Knowledge Graph anonymized Store AU - Maxime Thouvenot AU - Philippe Calvez AU - Olivier Curé PY - 2022 JO - 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) DO - 10.1109/trustcom56396.2022.00096 UR - https://doi.org/10.1109/trustcom56396.2022.00096 ER -
APA
Thouvenot, M., Calvez, P., & Curé, O. (2022). Kgastor: a Privacy By Design Knowledge Graph anonymized Store. 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). https://doi.org/10.1109/trustcom56396.2022.00096
Source records
- crossref · retrieved 2026-11-06T07:48:10.550Z