Turn your scattered AI coding sessions into a queryable knowledge graph. Multi-platform (Claude Code, ChatGPT, DeepSeek, Grok, Warp), W3C ontology, Wikidata entity linking, SPARQL.
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Updated
Jul 29, 2026 - Python
Turn your scattered AI coding sessions into a queryable knowledge graph. Multi-platform (Claude Code, ChatGPT, DeepSeek, Grok, Warp), W3C ontology, Wikidata entity linking, SPARQL.
Medical Subject Headings (MeSH) Translation Workflow
Multi Backend Knowledge Graph Environment
A reproducible, explainable PostgreSQL-SQL and Fuseki-SPARQL comparison over DBLP.
This project is a series of practical assignments for the Semantic Web and Knowledge Graphs course. It focuses on the campus domain and constructs a complete knowledge representation and processing pipeline, ranging from XML to RDF, ontology modeling, reasoning, and word embedding.
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