AIOTI Working Group · Brussels

Sovereign data,federated discovery,machine-readablegovernance.

DATAVOC is a framework for treating organisational knowledge as Linked Data — structured, governed, and discoverable across institutional boundaries.

What is DATAVOC?

DATAVOC treats organisational knowledge as Linked Data: structured, machine-readable, and governed by policy that any participating system can interpret automatically.

The name has three roots. Data and Vocabularies describe the technical contribution — established Web standards like RDF, OWL, SKOS, and DCAT applied to organisational knowledge. The third root is Vocation, from the Latin vocare— "to call." A vocation is work undertaken because it matters.

DATAVOC is named for the conviction that interoperable, sovereign, AI-ready data infrastructure is work of that kind.

The DATAVOC showcase

An interactive demonstration of the framework — populated by real European testbeds.

Semantic Identity Graph

Every participant becomes a discoverable node in a machine-readable knowledge graph, connected through relationships, competencies, and interests.

Federated Discovery

Live federated SPARQL querying across event graphs, external catalogues, and public semantic endpoints. Find collaboration opportunities instantly.

Data Sovereignty

Maintain complete control with sovereignty classifications: Public, Conditional, or Private. Policy-aware access control for every asset.

PublicConditionalPrivate

ODRE Policy Enforcement

Machine-enforceable governance with real-time policy evaluation, usage intent checking, and automated licence settlement.

AI-Ready Foundations

Structured, contextualised, and linked data enables AI systems to reason over relationships and generate contextual insights.

Interoperable Ecosystems

Bridge organisational boundaries with trusted interoperability protocols and semantic web standards.

Become a discoverable node

Fill in your semantic business card. Your profile becomes a queryable node in the live DATAVOC graph.

Seed organisations sourced from the AIOTI Testbed Catalogue (Release 2.0, November 2024).

Node Previewlive
datavoc:aiMaturity"Exploring"
datavoc:matchmakingtrue
Submitting will add 1 Organisation node, 0 Topic edges, and 0 Dataset edges to the graph.

Data is stored in the shared DATAVOC participant store. Files are not uploaded — only filenames are captured for display.

Live discovery demo

Experience federated SPARQL querying across the semantic knowledge graph.

Connected sourceCERTH-HIT OpenData Hub · Thessalonikicached snapshotopen portal ↗

Datasets are real (CERTH-HIT). Governance policies shown are DataVoc-authored, illustrative.

Layers

  • reveal on hover

Sovereignty

Open
Gated
Locked
Last sync: never
powered by DataVoc

tap to focus  ·  pinch to zoom  ·  tap and pan to explore

EU AI Act Obligation Matrix

Regulation (EU) 2024/1689 — obligations sorted by mandatory date, with Data Book coverage assessment.

Policy Catalogue

Machine-readable ODRL policies over real Thessaloniki open-data feeds — sovereign governance you can simulate. Datasets are real (CERTH-HIT); policies are DataVoc-authored, illustrative.

Mobility2 policies
Network-speed feed — accredited roles, EU only
Real-time network-speed data may be read by accredited roles (researcher, analyst, engineer, auditor, regulator) operating in the EU/EEA/UK/CH. Other requesters are denied.
Policy rules
permission · read
Regulatory basis
GDPR Art.5
Enforceability 70%
Floating car data (taxi GPS) — human oversight required
Taxi-GPS traces are personal location data. Use is permitted only for research, safety-monitoring or compliance-audit within the EU/EEA/UK/CH, and only with documented human oversight before any decision stands (AI Act Art.14). Other purposes are denied.
Policy rules
permission · use duty · use
Regulatory basis
AI Act Art.14GDPR Art.5GDPR Art.9
Enforceability 85%

Alliances & partners

DATAVOC develops in alliance with European institutions advancing semantic interoperability and sovereign AI.

Member of

AIOTI Alliance

Alliance for Internet of Things Innovation.

Seed testbed data sourced from the AIOTI Testbed Catalogue.

European Digital SME Alliance

Representing European Digital SMEs.

Frameworks & standards

Helio — Knowledge graph life cycle

DATAVOC's production knowledge graph runs on Helio, a published framework for the full RDF life cycle — materialisation from heterogeneous sources, triple-store hosting, SPARQL endpoint publishing, and federated discovery across distributed instances.

Cimmino, A., & García-Castro, R. (2024).

Helio: A framework for implementing the life cycle of knowledge graphs.

Semantic Web Journal, 15(1), 223–249. DOI: 10.3233/SW-233224

Deployed in EU Horizon 2020 projects

VICINITY · BIMERR · AURORAL · COGITO · DELTA

ODRE — Policy enforcement for ODRL

The ODRE policy modal demonstrated in the side panel mirrors the Open Digital Rights Enforcement framework — a published mechanism that adds executable enforcement to the W3C ODRL standard. ODRE makes data-usage policies machine-actionable in decentralised ecosystems and data spaces, with two open-source implementations available in Python and Java.

Cimmino, A., Cano-Benito, J., & García-Castro, R. (2025).

Open Digital Rights Enforcement Framework (ODRE):

From descriptive to enforceable policies.

Computers & Security, 150, 104282. DOI: 10.1016/j.cose.2024.104282

Built on W3C standards

ODRL · RDF · OWL · SHACL

IEEE 2874 — Spatial Web standards

DATAVOC aligns with the Spatial Web vision developed by the Spatial Web Foundation and VERSES, ratified as IEEE 2874-2025 in June 2025. Its two core components — HSML for describing entities and relationships, HSTP for encoding permissions and policies into every interaction — complement DATAVOC's federated discovery and machine-readable governance approach. Three hundred participants from industry, government, and academia contributed over five years.

Standards components

HSML (Hyperspace Modeling Language) · HSTP (Hyperspace Transaction Protocol) · SWID (Spatial Web Identifier, built on W3C DID Core)

Standards & working groups

W3C Standards

DATAVOC publishes Linked Data using established W3C standards in which our partners actively participate: RDF, OWL, SKOS, DCAT, FOAF, ODRL, PROV-O, SHACL, and the Web of Things (WoT) Thing Description. Several members of the Ontology Engineering Group at Universidad Politécnica de Madrid contribute to W3C standardisation, including the Linked Data Platform, the Sensor Network Ontology, and Ontolex.

AIOTI Working Groups

The 47 seed organisations in the live demo are sourced from the AIOTI Testbed Catalogue (Release 2.0, November 2024), compiled by AIOTI's Working Group on Testing and Experimentation Environments. AIOTI's verticals — Manufacturing, Health, Energy — regularly publish position papers on the CEI continuum (Cloud-Edge-IoT) and AI-readiness across European industry.

In collaboration with

Universidad Politécnica de MadridUniversity of EssexWorld Wide Web ConsortiumThe Blue PulseVERSESAIOTIUNIZO

Team

The people building DATAVOC.

  • Tom De Block
    Co-founder · Brussels
  • Mariano Fragiacomo
    Co-founder, Technical lead · Brussels
  • Dr. Andrea Cimmino
    Technical advisor (UPM-OEG) · Madrid
  • Dr. Mays Al-Naday
    Research lead · Essex University
  • Maria Paraskevopoulou
    Data Engineer · Belgium
  • Marcia D. Drake
    Strategic advisor · United States
  • Jimmy Joma
    Operations · Libanon
  • Khushboo Sinhal
    Communications · Brussels

Joining the working group: team@datavoc.eu

Events

Live showcases of the DATAVOC framework with the AIOTI working group.

Next event

Thursday, 21 May 2025 · 17:00

AI & DATA Readiness for Organisations

ICAB · Brussels, Belgium

Planned

Date to be confirmed

AI & DATA Readiness for Organisations

Venue to be confirmed · Belgium

Planned

Date to be confirmed

AI & DATA Readiness for Organisations

Venue to be confirmed · Belgium

Want to host a DATAVOC showcase at your location? Get in touch.