Interoperability & Linked Data
Most systems do not fail because the data is missing — they fail because two systems describe the same thing in incompatible ways. Semantic interoperability solves this by giving data an explicit, machine-readable meaning, so that a system can consume information from a source it was never specifically built for. I design ontologies, RDF pipelines and linked data architectures that let your data outlive the application that produced it.
This work is grounded in a decade of peer-reviewed research on the interoperability and discoverability of positioning systems, published at venues such as ISWC, ESWC, IPIN and ACM IoT.
Why interoperability matters

Proprietary data formats create silos. Every new integration becomes a bespoke interface, every vendor change becomes a migration project, and the knowledge about what the data means stays locked in the heads of the people who built the system. Linked data inverts this: meaning travels with the data.
This is also the direction European policy is moving in. The EU's ambition for a Digital Single Market and initiatives such as Gaia-X and the International Data Spaces all depend on shared vocabularies and machine-readable semantics. Building on open standards today means you are not retrofitting compliance later.
Interoperability also has a direct commercial benefit: a system that can describe itself is a system that third parties can build on. That is the difference between a closed deployment and a platform.
What I do
Ontology & vocabulary design
Domain-specific ontologies in OWL and RDFS that capture how your organisation actually models its domain — reusing established vocabularies wherever they exist, rather than inventing another silo.
- Alignment with existing standards (SSN/SOSA, GeoSPARQL, schema.org, DCAT)
- W3C best practices for publishing and versioning vocabularies
- SHACL shapes for validation and contract-style data quality checks
- Human-readable documentation generated from the ontology itself
Linked data integration
Turning existing relational, CSV, JSON or sensor data into a queryable knowledge graph without forcing a big-bang migration of your source systems.
- RML/R2RML mappings and transformation pipelines
- SPARQL endpoints, federated queries and query optimisation
- JSON-LD APIs so existing web clients need no changes
- Triple store selection, deployment and performance tuning
Decentralised & sovereign data
Architectures where the user — not the application — holds the data, based on the W3C Solid specification and data space principles.
- Solid pods as interoperable personal data vaults
- Access control, consent and audit trails
- GDPR-aligned data minimisation by design
- Data space and Gaia-X compatible sharing patterns
Discoverability & service discovery
Making systems findable and self-describing, so that clients can discover what a service offers without prior coordination or a proprietary registry.
- Self-describing endpoints and semantic service descriptions
- Beacon- and network-based discovery of nearby services
- Capability negotiation between independent systems
- FAIR (Findable, Accessible, Interoperable, Reusable) data practices
Research behind the practice
The vocabularies below were designed and published as part of doctoral research at the WISE lab of the Vrije Universiteit Brussel. They are open, freely reusable, and actively maintained — and they are the reference implementations behind the consultancy work above.

The Positioning System Ontology extends SSN/SOSA with the concepts needed to describe a positioning system, the environment it is deployed in, and the algorithms and techniques used to produce a position — not just the resulting coordinates.

A semantic Bluetooth Low Energy beacon specification, backwards compatible with iBeacon, Eddystone and AltBeacon. A SemBeacon broadcasts a link to linked data describing itself, its environment and the positioning systems available nearby — no proprietary beacon database required.

A fiducial marker ontology that classifies visual markers, their spatial pose, and the detection and pose-estimation procedures applied to them — enabling augmented reality applications from different vendors to interpret the same markers in a shared space.

The open-source hybrid positioning system that puts these vocabularies to work: a modular TypeScript framework where positioning techniques are nodes in a processing graph, with built-in RDF serialisation and Solid persistence.
Selected publications

ISWC 2022

IPIN 2022

ACM IoT 2023

ESWC 2024
The full list — including the doctoral dissertation Interoperable and Discoverable Indoor Positioning Systems — is available on maximvdw.be.