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Extensible linter and quality pipeline for RDF, SKOS, OWL and RDFS vocabularies

Project description

semanticlint

semanticlint

Extensible linter and quality pipeline for RDF, SKOS, OWL and RDFS vocabularies.

PyPI version CI License


Features

  • Stage 1 — Lint: syntax validation for Turtle, RDF/XML, N-Triples, JSON-LD
  • Stage 2 — Integrity: SKOS integrity conditions (W3C), OWL consistency, RDFS checks
  • Stage 3 — Quality: label coverage, definition coverage, hierarchy metrics
  • Auto-detection: identifies SKOS / OWL / RDFS / RDF vocabulary types automatically
  • Extensible: add custom checks with a single class and @CheckRegistry.register
  • Configurable: onto-ci.yml alongside your vocabulary files controls which stages run

Installation

pip install semanticlint

Quick start

semanticlint check my-taxonomy.ttl
semanticlint check vocabularies/ --select SKO --ignore SKO003

Writing a custom check

from semanticlint import Check, CheckRegistry, VocabType, Severity, Violation
from rdflib import RDF
from rdflib.namespace import SKOS

@CheckRegistry.register
class CamelCaseConceptCheck(Check):
    id          = "CUS001"
    description = "Concept local names should be CamelCase"
    severity    = Severity.WARNING
    applies_to  = VocabType.SKOS

    def run(self, graph, config):
        violations = []
        for concept in graph.subjects(RDF.type, SKOS.Concept):
            local = str(concept).split("#")[-1].split("/")[-1]
            if not local[0].isupper():
                violations.append(Violation(self.id, f"{local} is not CamelCase", self.severity, concept))
        return violations

Configuration (onto-ci.yml)

version: 1
sources: ["*.ttl", "vocabularies/**/*.ttl"]

select: ["RDF", "SKO", "QUA"]
ignore: []

quality:
  min_label_coverage: 1.0
  min_definition_coverage: 0.5
  languages: ["en"]

plugins:
  - my_project.custom_checks

License

MIT — logo is public domain (W3C RDF logo via Wikimedia Commons).

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