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.
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).
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.
tap to focus · pinch to zoom · tap and pan to explore
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Data sovereignty in action
How DATAVOC enables organisations to maintain complete control over their data while enabling trusted interoperability.
Thessaloniki Smart Mobility Data Lake
Real-time car and train traffic data across the Thessaloniki region.
Held by CERTH/HIT Thessaloniki Smart Mobility Living Lab
L.I.N.K. Positioning Reference Dataset
Sub-millimetre 6DOF positioning ground truth for industrial localisation research.
Held by Fraunhofer IIS L.I.N.K. Test Center
TSN Industrial Network Telemetry
Proprietary deterministic industrial network traces over TSN.
Held by Huawei Edge Computing OPC UA over TSN
SmartSantander City-Scale IoT Stream
City-wide sensor deployment covering parking, lighting and waste.
Held by SmartSantander IoT Testbed
VITAL5G Port Logistics Stream
5G-enabled port operations and warehouse logistics telemetry.
Held by BEIA VITAL5G
ODRE policy enforcement flow
User requests access
Policy engine evaluates
Usage intent checked
Licence generated
Access decision
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
Team
The people building DATAVOC.
- Tom De BlockCo-founder · Brussels
- Mariano FragiacomoCo-founder, Technical lead · Brussels
- Dr. Andrea CimminoTechnical advisor (UPM-OEG) · Madrid
- Dr. Mays Al-NadayResearch lead · Essex University
- Maria ParaskevopoulouData Engineer · Belgium
- Marcia D. DrakeStrategic advisor · United States
- Jimmy JomaOperations · Libanon
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.