rdf-canon

Name: rdf-canon
Availability: InStock
Author: sparq-org

Canonicalize RDF datasets into a deterministic form for hashing and diffing.

8|1|Updated Jun 7, 2026

Search Tags:#data science #hashing #rdf #dataset canonicalization #rdfc-1.0

Ready to run

npx skills add https://github.com/sparq-org/sparq --skill rdf-canon

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: rdf-canon
Source: https://github.com/sparq-org/sparq/tree/main/skills/rdf-canon
Command: npx skills add https://github.com/sparq-org/sparq --skill rdf-canon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sparq-canon, and includes scripts (resource) components.

What problem does it solve?

This Skill canonicalizes RDF datasets, ensuring consistency in data representation for operations like hashing, deduplication, and RDF-isomorphism testing.

Core Features & Use Cases

RDF Dataset Canonicalization: Converts datasets into a deterministic form, replacing blank nodes and ordering quads.
Use Case: If you need to ensure two RDF datasets are isomorphic, or need a consistent serialization for hashing or diffing, this skill is invaluable.

Quick Start

To canonicalize an RDF dataset named 'data.nt', execute the following command: rdf-canon canonicalize data.nt ntriples ./idx

Frequently Asked Questions about rdf-canon

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I canonicalize an RDF dataset for consistent hashing?▼

You can canonicalize an RDF dataset by converting it into a stable form, replacing blank nodes and ordering quads. This deterministic serialization ensures consistent hashing and dataset comparison for data scientists.

What is RDF dataset canonicalization and when do I need it?▼

RDF dataset canonicalization converts datasets into a deterministic form by replacing blank nodes and ordering quads. You need it when performing RDF-isomorphism testing, deduplication, or ensuring consistent serialization for hashing.

How do I check if two RDF datasets are isomorphic?▼

To check if two RDF datasets are isomorphic, canonicalize both datasets to establish a stable, deterministic form. If their canonical forms match, the original datasets are isomorphic and structurally identical.

Does RDF dataset canonicalization work with ntriples serialization?▼

Yes, RDF dataset canonicalization supports ntriples serialization. You can process an input file like 'data.nt' and specify 'ntriples' as the output format during the canonicalization process.

Do I need the sparq-canon dependency to process quad sequences?▼

Yes, you need the sparq-canon dependency because the canonicalization process requires the rdf-canon crate to process quad sequences and generate a stable canonical form for your datasets.

What's the best way to prepare RDF data for diffing?▼

The best way to prepare RDF data for diffing is dataset canonicalization, which replaces blank nodes and orders quads into a stable form. This ensures a consistent serialization for accurate dataset comparison.