YeYzheng/KGQA-Based-On-medicine
基于医药知识图谱的智能问答系统 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3087
- days_rel: n/a
- days_push: 2771
- n_releases_24m: 0
Adoption not part of the score
1278 stars · 288 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A knowledge graph question answering (KGQA) system for medicine that parses natural language questions into SPARQL queries against an Apache Jena Fuseki-backed RDF knowledge base. It provides a Django web interface and CLI mode for querying diseases, symptoms, and medications.
Use cases
- answer medical questions from a knowledge graph
- query drug and disease information in natural language
- build a KGQA demo with SPARQL and Jena Fuseki
- learn how to implement KBQA with REfO
- serve a medical QA chatbot over RDF data
When to choose
- you need a reference implementation of KGQA over an RDF/SPARQL knowledge base
- you want a working medical QA demo with Chinese NLP
- you are learning knowledge graph question answering techniques
When to avoid
- you need production-grade or maintained software (no license, last release 2019)
- you need multi-turn dialogue or robust synonym handling
- your data is not in RDF/TDB format
Facets
application · maturity abandoned
nlp search-engine web-framework chatbot healthcare databases python cli kgqa knowledge-graph sparql apache-jena-fuseki medicine question-answering rdf chinese-nlp natural-language-processing knowledge-graphs web-server
1 source
- readme: https://github.com/YeYzheng/KGQA-Based-On-medicine · fetched 2026-08-28 · 9cda8fb781c0
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| YeYzheng/KGQA-Based-On-medicine | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="YeYzheng/KGQA-Based-On-medicine")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem