🧭PROV-O

NEW

Also known as: W3C Provenance Ontology

An OWL ontology encoding the PROV data model to represent provenance of entities, activities, and agents.

DESCRIPTION

PROV-O provides classes and properties to capture how entities were produced, used, and influenced by activities and agents. It supports traceability, accountability, and reproducibility across workflows. Integration with datasets (DCAT) and processes (OpenLineage) enables end-to-end lineage. The ontology aligns with the broader PROV family of W3C specifications, offering a standard for interoperable provenance.

ALTERNATIVE DEFINITIONS

W3C

PROV-O is the OWL 2 Web Ontology Language encoding of the PROV Data Model.

Defines role as ontology encoding of the PROV data model.

Source

Wikipedia

PROV is a family of specifications developed by the W3C to represent provenance information on the Web.

Places PROV-O within the larger PROV family of specifications.

Source

W3C PROV Primer

This primer provides an overview of PROV, a set of specifications to model provenance information.

Guides practical understanding and modeling of provenance with PROV.

Source

RELATED TERMS

Provenance PROV Entity Activities Agent OpenLineage Lineage DCAT Dublin Core Metadata Management

COMPETING TERMS

Open Provenance Model

KNOWLEDGE AREAS

Metadata Management Data Governance Semantic & Knowledge Modeling Data Management MLOps

TARGET AUDIENCE

Data Steward Data Engineer Data Architect MLOps Engineer

EXTERNAL SOURCES

• Wikipedia - PROV
• W3C - PROV-O ontology specification
• W3C - PROV primer with examples
• OpenLineage - Operational lineage standard

TOP QUESTIONS

Why use PROV-O for provenance?

It provides a standard, interoperable ontology to represent entities, activities, and agents, improving traceability and compliance.

Category: Relevancy

How does PROV-O relate to PROV?

PROV-O is the OWL encoding of the broader PROV data model and specifications.

Category: Standards

What are common mistakes with PROV-O?

Capturing only process names without linking entities and usage, losing actionable lineage detail.

Category: Mistakes

What risks exist when omitting provenance?

Reduced trust, difficulty auditing, and compliance failures in regulated contexts.

Category: Risk

Can PROV-O integrate with DCAT?

Yes; datasets and distributions described in DCAT can be linked to PROV activities and agents.

Category: Integration

How to implement PROV-O in pipelines?

Emit provenance records for key steps, link inputs and outputs, store in a graph database or catalog.

Category: Implementation

What’s a hot topic around PROV-O?

Bridging business lineage with technical telemetry for end-to-end traceability.

Category: Topic

What is the competing term to PROV-O?

The Open Provenance Model is a predecessor; operational standards like OpenLineage complement rather than replace PROV-O.

Category: Alternatives

How do I validate PROV-O data?

Use SHACL or ShEx shapes to enforce consistent entity-activity-agent relations and required properties.

Category: Testing