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Health-RI Semantic Interoperability Initiative

Initiative status: discontinued

The Health-RI Semantic Interoperability Initiative was formally paused on May 1, 2026 and has since been discontinued.

No further development, curation, community review, or release activity is planned under this initiative. Existing documentation, released artifacts, persistent identifiers, and repository materials remain available as archival resources for reference, reuse, and citation. They are not actively maintained, and known limitations may remain unresolved.

See Initiative Status for details.

Watch: applied use cases for semantic interoperability

Watch a short video showing how similar labels and values in health datasets may represent different meanings, and how HRIO and the Health-RI SSSOM mapping set can support more precise, traceable, and defensible data reuse decisions.

Watch the video on YouTube

The health domain is shaped by many standards and models that guide the design of databases and the implementation of systems. They are applied in diverse contexts, from hospital records to research infrastructures. To enable effective data reuse, the data within these systems often needs to be exchanged, compared, and integrated. In other words, the data must be interoperable (fulfilling the "I" in FAIR).

In practice, interoperability often breaks because meaning stays implicit. Similar labels, codes, or even similar OWL patterns can hide genuine semantic misalignment ("false agreement")—and those mismatches usually surface later as brittle integrations, silent errors, and hard-to-reproduce results.

What we do differently: semantic traceability

The Health-RI Semantic Interoperability Initiative developed a model-driven, ontology-based framework designed to enable semantic traceability: keeping meaning and representation aligned across the stack.

We developed the Health-RI Ontology (HRIO) as a common semantic reference model:

  • HRIO OntoUML (CIM): a conceptual model for experts to validate (meaning-first).
  • HRIO gUFO/OWL (PIM): a computational OWL implementation of the same meanings (machine-processable).
  • Health-RI Mapping Vocabulary (HRIV): a meaning-level mapping layer that links external terms to HRIO meanings with explicit intent.

This makes it possible to trace semantics from external artifacts → mapped HRIO meanings → conceptual reference definitions, and also in the reverse direction.

Map once, reuse everywhere (a semantic hub)

Most interoperability programs end up maintaining many pairwise mappings across standards and local schemas. The approach developed by the initiative replaces that scaling trap with a semantic hub:

  • Each external standard, schema, or ontology maps once to HRIO.
  • When two external terms map to the same HRIO meaning, their intended semantics become comparable through the shared reference model—without needing a bespoke pairwise mapping for every combination.

XKCD Comic #927 - Standards
Source: xkcd.com/927

A concrete example: avoiding "same label, different meaning"

Two standards may both use the label "Man", while embedding different conceptualizations (e.g., a karyotype-based reading versus a gender-based reading). Treating them as interchangeable creates false agreement.

With HRIO + HRIV:

  • each external term is linked to the specific HRIO meaning it intends,
  • and cross-standard interpretations are derived from those explicit meaning-level commitments (not from labels alone).

Trust by design: auditable semantic assets

During active development, we treated semantic artifacts like production assets:

  • Role separation (Mapper ≠ Reviewer; Curator publishes)
  • Validation before release (promotion gates)
  • Append-only history where mappings are superseded (never overwritten), with replaces lineage
  • Stable, citable PIDs (w3id) and version IRIs / dated releases to support reproducibility

Quick start (10 minutes)

AI Assistants (GPT)

Two ChatGPT assistants created during the initiative remain linked as archival aids.

Open: Semantic Interoperability Guide

Open: HRIO Mapping Assistant

  • Use the Guide for questions about the initiative, artifacts, releases, and PIDs.
  • Use the Mapping Assistant to draft a candidate HRIV meaning mapping from your term to HRIO (one predicate + confidence + evidence snippets).

These tools are not actively maintained. Always validate results against the archived documentation. Their outputs are not reviewed, curated, or published by this discontinued initiative.

1) Pick one ambiguous local term (column header, code, or ontology class).

2) Select the closest HRIO meaning (browse the ontology specification/documentation).

3) Attach a meaning-level relation (your semantic "unit test"):

  • hriv:hasExactMeaning (intended meaning is fully equivalent)
  • hriv:hasBroaderMeaningThan / hriv:hasNarrowerMeaningThan (meaning is broader/narrower)

4) Document and validate it in your own workflow. The initiative's contribution, review, curation, and release workflows are closed.

Community and collaboration

During its active phase, the initiative received valuable support and feedback from academics and professionals across Health-RI and the broader health data community. Their perspectives helped shape the work and align it with national and international efforts toward interoperability.

The resources produced by the initiative remain openly available — including the ontology, mapping vocabulary, and mapping sets — for reference, reuse, and citation. For the conceptual rationale and the initiative-level definition of semantic traceability, see our academic paper.

The contribution and community-review pages are retained as historical documentation of the processes used during the initiative. New submissions are not reviewed, curated, or integrated into project releases.

About Health-RI

Health-RI is a national initiative in the Netherlands dedicated to building an integrated infrastructure for health and life-sciences data. By improving data sharing, reuse, and accessibility, Health-RI aims to empower researchers, clinicians, and policymakers to accelerate data-driven healthcare innovation.

Semantic interoperability plays a foundational role in this mission by ensuring that data from diverse sources can be aligned and understood consistently — not just technically, but conceptually.

What's on this site

This site documents how the Health-RI Semantic Interoperability Initiative approached semantic interoperability across health and life-sciences data: its concepts, modeling foundations (OntoUML & gUFO), method and mapping vocabulary, and published ontology deliverables (specs, docs, changelog).

Who this is for

Data stewards, modelers, and engineers who need stable, shared meaning across systems — using a common reference model (OntoUML → gUFO) and mappings that align external ontologies, terminologies, and schemas to it.

License

Semantic Artifacts & Documentation: All ontologies, vocabularies, mapping files, documentation, templates, and other semantic artifacts are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Auxiliary Code: Any code scripts or auxiliary utilities are licensed under the MIT License.