knowledge-graph-sparql
CommunityTurn research data into queryable graphs.
Education & Research#knowledge graph#sparql#rdf#wikidata#linked data#entity linking#ontology reasoning
Authorxjtulyc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you transform library and research data into a structured knowledge graph and then extract answers from it using SPARQL, including entity linking and multi-hop reasoning across heterogeneous metadata.
Core Features & Use Cases
- Build RDF knowledge graphs: Convert tabular or structured scholarly data into RDF triples with consistent namespaces and identifiers.
- Query with SPARQL (local and federated): Run SELECT/CONSTRUCT-style queries over a local triple store and federate queries to external endpoints like Wikidata.
- Entity linking & reconciliation: Map author and concept mentions to canonical URIs (e.g., ORCID/Wikidata), enabling disambiguation and authority alignment.
- Reasoning and visualization: Apply basic RDFS/OWL-style inference patterns and visualize graph topology for analysis.
Quick Start
Use this skill to construct an RDF graph from your research metadata, run SPARQL queries to answer multi-hop questions, and optionally enrich entities via Wikidata lookup.
Dependency Matrix
Required Modules
rdflibrequestspandasnetworkxmatplotlibnumpy
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: knowledge-graph-sparql Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#knowledge-graph-sparql Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.