# YeYzheng/KGQA-Based-On-medicine

基于医药知识图谱的智能问答系统

Repository: https://github.com/YeYzheng/KGQA-Based-On-medicine
Canonical: https://ross.abutalabs.com/products/kgqa-based-on-medicine
Language: JavaScript
License Family: other
Topics: kgqa, rdf, python3, nlp, qa
Last push: 2019-01-31T08:45:19+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3087, "days_push": 2771, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1278, forks 288 (observed 2026-08-28T04:04:13.351617+00:00)

## What it is
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
- artifact type: application
- maturity: abandoned
- function: nlp, search-engine, web-framework, chatbot
- domain: healthcare, databases
- platform: python, cli
- tags: kgqa, knowledge-graph, sparql, apache-jena-fuseki, medicine, question-answering, rdf, chinese-nlp, natural-language-processing, knowledge-graphs, web-server

## Member repositories
- YeYzheng/KGQA-Based-On-medicine (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:13.351617+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:02:44.339916+00:00, confidence not recorded.
  - readme: https://github.com/YeYzheng/KGQA-Based-On-medicine (fetched 2026-08-28T04:04:13.351617+00:00, sha 9cda8fb781c0)
- Data as of 2026-08-30T08:39:29.467469+00:00.