# query-dbpedia

> query-dbpedia — kidehen-query-dbpedia. Use this tool when you need to translate natural language questions into structured queries for DBpedia, solving problems of semantic search and data retrieval. It takes natural language questions as input and outputs SPARQL queries and HTML results pages, providing a user-friendly interface for exploring DBpedia data. Ideal for use cases where you want to leverage DBpedia's knowledge graph for question answering and data exploration.

Canonical page: https://skillsregistry.net/skills/kidehen-query-dbpedia  
JSON: https://api.skillsregistry.net/v1/skills/kidehen-query-dbpedia

## Description

Transform natural language questions into SPARQL queries for DBpedia and generate beautiful HTML results pages.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/kidehen-query-dbpedia)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kidehen-query-dbpedia"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kidehen-query-dbpedia` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kidehen-query-dbpedia/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt