memect/kg-beijing resource
北京知识图谱学习小组 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: 3754
- days_rel: n/a
- days_push: 3592
- n_releases_24m: 0
Adoption not part of the score
1677 stars · 486 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A study group repository for the Beijing Knowledge Graph Learning Group, containing a wiki-based curriculum covering knowledge extraction, representation, storage, and retrieval. It is primarily educational material with Jupyter notebooks and curated references rather than usable software.
Use cases
- learn the basics of knowledge graphs
- find a structured curriculum for knowledge extraction and representation
- study how knowledge graphs are stored and queried
- find references for learning semantic web technologies
- follow a week-by-week knowledge graph study plan
When to choose
- you want a guided, topic-organized introduction to knowledge graphs
- you prefer curated reading lists and outlines over production code
- you read Chinese and want community study materials
When to avoid
- you need maintained, production-ready knowledge graph software
- you want up-to-date materials reflecting modern LLM-era knowledge graph tooling
- you need a licensed, reusable codebase
Facets
learning-resource · maturity abandoned
nlp search-engine database developer-tools artificial-intelligence databases education tutorials python cross-platform knowledge-graph study-group semantic-web chinese-language jupyter-notebooks natural-language-processing
1 source
- readme: https://github.com/memect/kg-beijing · fetched 2026-08-28 · 4b0903be6cf4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| memect/kg-beijing | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="memect/kg-beijing")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem