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amazingsyp/pokemon-ontology

21JavaScriptAudience · researcherComplexity · 3/5LicenseSetup · easy

TLDR

An interactive, single-file browser app that teaches ontology, how concepts relate to each other, using all 1,025 Pokemon as real examples, covering RDF, SPARQL, and OWL through 57 hands-on exercises.

Mindmap

mindmap
  root((repo))
    What it does
      Teaches ontology
      14 chapters
      57 exercises
    Tech stack
      Single HTML file
      Node.js build scripts
      Pokemon data API
    Topics covered
      RDF and SPARQL
      OWL reasoning
      Knowledge graphs
    Audience
      Students
      Korean speakers
      Beginners
    Features
      Works offline
      Progress saved
      Dark mode
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Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Things people build with this

USE CASE 1

Learn the basics of ontology, RDF, and SPARQL through familiar Pokemon examples without needing any software installed.

USE CASE 2

Use as a classroom or self-study tool for knowledge graph or semantic web courses, especially for Korean-speaking students.

USE CASE 3

Practice writing SPARQL queries and building knowledge graphs through guided, hands-on drag-and-drop exercises.

USE CASE 4

Get a practical introduction to OWL and logical reasoning before tackling more abstract academic or industry materials.

Tech stack

HTMLJavaScriptNode.jsRDFSPARQLOWLPokemon API

Getting it running

Difficulty · easy Time to first run · 5min

No installation needed, open the hosted HTML file in any browser. To build locally, run the two Node.js scripts to fetch data and bundle the output file.

Apache 2.0, free to use, modify, and share, even commercially, as long as you include the license notice. Very permissive.

In plain English

This repository is an interactive learning program that teaches ontology using all 1,025 Pokemon as concrete examples. Ontology is the practice of formally describing how concepts and objects relate to each other, it underpins things like search engines, knowledge graphs, and the semantic web. Most introductions start with abstract syntax, but this project starts with familiar Pokemon and generalizes from there. The entire program is a single HTML file, about 4.7 MB, that runs in any modern browser without installation or a server. It works offline on a phone or a desktop. The curriculum has 14 chapters, starting with the question "what is a class?" and progressing through properties, relationships, RDF syntax, SPARQL queries (a language for asking questions of structured data), OWL (a formal language for describing class logic), reasoning (inferring new facts from stated ones), and upper ontologies (general-purpose concept hierarchies that go beyond Pokemon). The 57 hands-on exercises include graph builders, drag-and-drop classification tasks, triple builders, and SPARQL query builders. About 70 percent of each chapter is practice rather than reading. The program is Korean-first. All Pokemon names, types, moves, and explanations use the official Korean locale pulled from a public Pokemon data API. A Korean-language section in the README mirrors the English documentation in full. The tool supports light and dark mode, saves your progress across page reloads, and has been tested for responsiveness on screens ranging from small phones to wide desktops. If you want to build the HTML file yourself rather than use the hosted version on GitHub Pages, the repository includes two Node.js scripts: one that fetches the Korean Pokemon data from the API, and one that bundles everything into the single output file. The project is released under the Apache 2.0 license and is an unofficial, non-commercial educational tool with no Pokemon imagery bundled, only publicly available structured data.

Copy-paste prompts

Prompt 1
I'm learning ontology using the pokemon-ontology project. Can you explain what an RDF triple is and give me three examples using Pokemon like Pikachu and its types?
Prompt 2
Using the concepts from pokemon-ontology, help me write a SPARQL query that finds all Pokemon who are both Water type and can learn the move Surf.
Prompt 3
Explain the difference between a class and an instance in OWL, using Pokemon species as the class and individual Pokemon as instances, the way pokemon-ontology does.
Prompt 4
I finished the pokemon-ontology curriculum. What should I learn next to apply ontology and knowledge graphs to a real-world project outside of Pokemon?
Prompt 5
Help me set up the pokemon-ontology Node.js build scripts locally so I can fetch Korean Pokemon data and bundle the single HTML file myself.
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