#156 · Primary category： Knowledge Base & RAG
KGQA-Based-On-medicine
Intelligent question-answering system based on medical knowledge graph
Project last updated：01/31/19
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Why we included this project
This project is a working example of question answering over a medical knowledge graph that does not rely on large language models. It converts natural-language questions into SPARQL queries, runs them against an Apache Jena Fuseki triple store, and returns the answers through a Django web interface. A TDB knowledge base for drug and disease data is included, and the setup notes are detailed enough to copy the approach for a different domain. The limitations are stated plainly: only single-turn questions, and no answers beyond what the knowledge graph already contains.
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