Frameworks & Standards
W3C Linked Data Standards
Many buyers assess semantic platforms against the W3C Linked Data stack: RDF, SPARQL, SHACL, PROV-O, OWL, and related recommendations.
This is not a single compliance framework, but it is a common assessment lens for semantic interoperability.
Buyer question
"Can Legra interoperate with standards-based semantic data, or is it a proprietary graph model?"
Legra fit
| Assessment area | Legra fit | Status |
|---|---|---|
| RDF data model | Import, export, and query RDF using IRIs, literals, named graphs, and shared vocabularies. | Native fit |
| SPARQL | Legra exposes SPARQL query/update capability and HTTP query surfaces. | Native fit |
| SHACL | Legra uses SHACL-style shapes and validation rules for commit-time validation. | Native fit |
| PROV-O | Legra uses PROV-O for agent classification and exposes commit, delegation, derivation, task, and event provenance as standards-native, queryable provenance triples. | Native fit |
| RDFS and OWL-RL reasoning | Use supported ontology rules to derive facts and inspect the explanations for those facts. | Native fit |
| SHACL reasoning | Use SHACL to validate data; it is not offered as a general reasoning language. | No fit |
| SWRL | SWRL is not a supported rule-authoring format. | No fit |
| OWL-DL | Legra targets scalable OWL-RL reasoning, not arbitrary description-logic reasoning. | No fit |
| OWL Full | Legra does not attempt unrestricted OWL Full reasoning. | No fit |
What Legra can say
Use open semantic standards to exchange data and evaluate the behavior you need:
- The same graph can hold business data, schema, shapes, provenance, policy, and catalog metadata.
- SHACL rules can be versioned and enforced at commit time.
- Provenance can be queried through the same query interfaces as the data it describes.
- PROV-O can identify humans, organizations, software agents, AI agents, activities, generated entities, delegations, and derivation relationships in audit and lineage queries.
- Supported RDFS and OWL-RL rules let queries include inferred relationships.
- Branches let teams assess changes to data and rules before promotion.
- SPARQL gives standards-based access while Cypher and GQL provide additional graph-query surfaces.
Assessment boundary
Choose the RDF formats, SPARQL operations, SHACL constraints, and ontology profiles required by your application. Verify representative data and queries against those requirements. Support for a standard does not establish full conformance with every version or profile.
For provenance, test the PROV-O relationships your audit queries need. For reasoning, assess RDFS and OWL-RL separately from OWL DL and OWL Full; support for one profile does not imply support for the others.