Data Privacy Vocabulary (DPV) -- Version 2
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Abstract (arXiv)
The Data Privacy Vocabulary (DPV), developed by the W3C Data Privacy Vocabularies and Controls Community Group (DPVCG), enables the creation of machine-readable, interoperable, and standards-based representations for describing the processing of personal data. The group has also published extensions to the DPV to describe specific applications to support legislative requirements such as the EU's GDPR. The DPV fills a crucial niche in the state of the art by providing a vocabulary that can be embedded and used alongside other existing standards such as W3C ODRL, and which can be customised and extended for adapting to specifics of use-cases or domains. This article describes the version 2 iteration of the DPV in terms of its contents, methodology, current adoptions and uses, and future potential. It also describes the relevance and role of DPV in acting as a common vocabulary to support various regulatory (e.g. EU's DGA and AI Act) and community initiatives (e.g. Solid) emerging across the globe.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Apr 2024.
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Citing papers per year: 2024: 3; 2025: 1; 2026: 3.
7 papers.
- 2024AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Actcited by 10
- 2024Developing an Ontology for AI Act Fundamental Rights Impact Assessmentscited by 2
- 2024AICat: An AI Cataloguing Approach to Support the EU AI Actcited by 0
- 2025An LLM-enabled semantic-centric framework to consume privacy policiescited by 0
- 2026PrivLEX: Detecting legal concepts in images through Vision-Language Modelscited by 0
- 2026Denotational Semantics for ODRL: Knowledge-Based Constraint Conflict Detectioncited by 0
- 2026A Reusable Semantic Web Framework for Evidence-Grounded Fundamental Rights Impact Assessments under the EU AI Actcited by 0
- 2026A Reusable Semantic Web Framework for Evidence-Grounded Fundamental Rights Impact Assessments under the EU AI Act30 Sep 2026
- 2026Denotational Semantics for ODRL: Knowledge-Based Constraint Conflict Detection23 Feb 2026
- 2026PrivLEX: Detecting legal concepts in images through Vision-Language Models14 Jan 2026
- 2025An LLM-enabled semantic-centric framework to consume privacy policies1 Sep 2025
- 2024Developing an Ontology for AI Act Fundamental Rights Impact Assessments20 Dec 2024
- 2024AICat: An AI Cataloguing Approach to Support the EU AI Act19 Dec 2024
- 2024AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act26 Jun 2024