A linked data representation of GDPR containing the text (EN) of GDPR annotated to make each individual item referenceable, and published using DCAT + ELI vocabularies.
Harshvardhan Pandit
b7bbb4ed02
restructure for Github pages
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| docs | 4 年 前 | |
| dpd | 4 年 前 | |
| scripts | 4 年 前 | |
| README.md | 4 年 前 | |
| gdpr.html | 4 年 前 | |
| gdpr.json | 4 年 前 | |
| gdpr.jsonld | 4 年 前 | |
| gdpr.n3 | 4 年 前 | |
| gdpr.nt | 4 年 前 | |
| gdpr.owl | 4 年 前 | |
| gdpr.rdf | 4 年 前 | |
| gdpr.ttl | 4 年 前 | |
| gdpr.xml | 4 年 前 | |
| gdpr_articles.ttl | 4 年 前 | |
| gdpr_distributions.ttl | 4 年 前 | |
| widoco.config | 4 年 前 |
README.md
GDPRtEXT
A glossary of GDPR concepts serialised using [SKOS][https://www.w3.org/TR/skos-reference/] and a linked dataset of GDPR text serialised using [RDF][https://www.w3.org/TR/rdf-primer/].
The ontology and its documentation is available at [https://w3id.org/GDPRtEXT][https://w3id.org/GDPRtEXT]
License: [CC-by-4.0][https://choosealicense.com/licenses/cc-by-4.0/]
Overview
GDPRtEXT has two goals:
- Enable representing text of GDPR as a Linked Open Data resource with granular access to its clauses
- Provide a glossary of terms associated with GDPR
For this, it provides a RDF dataset of GDPR text with individual ids assigned to each of its clauses. It also provides a SKOS glossary of terms from the text with references to relevant clauses.
The canonical GDPR text can be found here.
This repository acts as version control for the project. The project website is at openscience.adaptcentre.ie.
Publication
The work about GDPRtEXT has been published as ""GDPRtEXT - GDPR as a Linked Data Resource Harshvardhan J. Pandit, Kaniz Fatema, Declan O'Sullivan, Dave Lewis. In Proceedings of 15th European Semantic Web Conference (ESWC), Resource Track. Crete, Heraklion, Greece. 2018 https://doi.org/10.1007/978-3-319-93417-4_31 with OA pre-print/archive available at http://hdl.handle.net/2262/91559 and https://doi.org/10.5281/zenodo.3246410.
If you are referencing or using the above work, cite it through the above publication.
Deliverables
- GDPR (En) text with HTML id for each item/article
- GDPR (En) text as JSON
- GDPR (En) as RDF dataset
- GDPR (En) text with HTML id + RDFa
- GDPRtEXT ontology describing structure of GDPR and providing a SKOS glossary
Funding acknowledgement
This work is supported by the ADAPT Centre for Digital Content Technology, which is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.