# myhhub/KnowledgeGraph

knowledge graph知识图谱,从零开始构建知识图谱

Repository: https://github.com/myhhub/KnowledgeGraph
Canonical: https://ross.abutalabs.com/products/knowledgegraph
Language: Python
License Family: other
Topics: knowledge-graph, knowledge-management, named-entity-recognition, question-answering, relation-extraction
Last push: 2023-09-18T07:13:59+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2512, "days_push": 1080, "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 1688, forks 172 (observed 2026-08-28T04:05:22.392576+00:00)

## What it is
A curated learning resource for building knowledge graphs from scratch, combining foundational theory articles, recommended papers, and a hands-on tutorial series. It walks through constructing movie and encyclopedia knowledge graphs with tools like Neo4j, Jena, ElasticSearch, Deepdive, OpenNRE, and Silk.

## Use cases
- learn how to build a knowledge graph from scratch
- extract entities and relations from text for a knowledge graph
- store structured data in Neo4j as a graph
- build a simple question answering system over a knowledge graph
- implement semantic search with ElasticSearch
- convert structured data to RDF and query with SPARQL
- perform knowledge fusion with Silk

## When to choose
- you want a structured, tutorial-driven path to learn knowledge graph construction
- you need practical code examples covering extraction, storage, fusion, and querying
- you are comfortable reading Chinese-language documentation

## When to avoid
- you need a production-ready knowledge graph library or framework
- you require an actively maintained project with a license and recent updates
- you need English-language materials only

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, search-engine, machine-learning, data-science
- domain: tutorials, databases, artificial-intelligence
- platform: python, cross-platform
- tags: knowledge-graph, neo4j, named-entity-recognition, relation-extraction, question-answering, rdf, sparql, chinese, natural-language-processing

## Member repositories
- myhhub/KnowledgeGraph (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:22.392576+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 2026-08-30T03:38:49.112360+00:00, confidence not recorded.
  - readme: https://github.com/myhhub/KnowledgeGraph (fetched 2026-08-28T04:05:22.392576+00:00, sha 08864891d962)
- Data as of 2026-08-30T08:39:29.467469+00:00.