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dbpedia-query-skill

Translate natural language questions about DBpedia into SPARQL queries and run them against the endpoint.

35|8|Updated Dec 19, 2025
Search Tags:#knowledge-graph#html-output#json-output#sparql#semantic-web#dbpedia#nl-to-sparql
One-click install
npx skills add https://github.com/OpenLinkSoftware/ai-agent-skills --skill dbpedia-query-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dbpedia-query-skill
Source: https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/dbpedia-query-skill
Command: npx skills add https://github.com/OpenLinkSoftware/ai-agent-skills --skill dbpedia-query-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill translates natural language questions about DBpedia into SPARQL queries and fetches results, then renders them as interactive HTML, JSON, or Markdown outputs.

Core Features & Use Cases

  • Natural language to SPARQL conversion for DBpedia queries
  • Protocol-aware execution and routing (curl, URIBurner, MCP, chatPromptComplete, OPAL)
  • Output formats: JSON, Markdown, HTML with clickable DBpedia links
  • HTML result templates with embedded SPARQL display and styling
  • Common use cases include film research, geographic data, literature, people, and organizations

Quick Start

To start, describe in plain English what you want to know about DBpedia, and the skill will generate and execute a SPARQL query and present the results.

Frequently Asked Questions about dbpedia-query-skill

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

FAQPage Schema
How do I query DBpedia using natural language instead of writing SPARQL?▼

You can query DBpedia by asking questions in plain English. This skill translates natural language questions into SPARQL queries, executes them against the DBpedia endpoint, and returns structured knowledge graph results.

What output formats are available for DBpedia SPARQL query results?▼

DBpedia SPARQL query results can be returned as JSON, Markdown, or HTML. The HTML format includes clickable DBpedia links, embedded SPARQL display, and styling for interactive knowledge graph presentation.

Can I retrieve information about people and organizations from the semantic web without SPARQL knowledge?▼

Yes, you can retrieve semantic web data about people, organizations, films, books, and geographic locations by stating your query in conversational English. The skill handles SPARQL generation and endpoint execution automatically.

Does the DBpedia query skill support multiple execution protocols for fetching knowledge graph data?▼

The skill supports a multi-path execution routing pipeline for fetching knowledge graph data, utilizing curl, URIBurner, MCP, chatPromptComplete, and OPAL protocols to ensure SPARQL query completion.

Are standard DBpedia prefixes required when generating SPARQL queries from natural language?▼

Standard DBpedia prefixes are automatically provided by the skill during natural language to SPARQL conversion. You do not need to manually configure semantic web namespaces to execute knowledge graph queries.

What are the limitations of using natural language to SPARQL conversion for DBpedia knowledge retrieval?▼

Natural language to SPARQL conversion is limited to the scope of the DBpedia knowledge graph, focusing on films, books, people, organizations, and geographic queries. Complex relational queries may require manual SPARQL construction.

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