What it does

The repository collects and structures learning materials for knowledge graph construction: nine foundational concept articles, two recommended academic papers, and thirteen hands-on blog posts walking through movie-domain and encyclopedia knowledge graphs. It covers the full pipeline from data acquisition and RDF conversion to Neo4j storage, SPARQL queries, and entity/relation extraction via Deepdive and OpenNRE.

The interesting bit

The author has done the tedious work of sequencing disparate blog posts into a coherent curriculum — the thirteen-part series actually builds working systems rather than stopping at theory. The explicit inclusion of two Chinese academic papers (Tsinghua and East China University of Science and Technology) gives it a regional flavor often missing from English-dominated KG resources.

Key highlights

• Structured progression: concepts → papers → 13-part coded implementation
• Two complete worked examples: movie domain KG and encyclopedia KG
• Covers both structured (RDF, Neo4j) and unstructured (Deepdive, OpenNRE) data pipelines
• Includes knowledge fusion using Silk, a less commonly demonstrated step
• All materials are Chinese-language, including academic paper recommendations

Caveats

• The repository itself appears to contain no code; it is purely an index of external blog posts and papers hosted on third-party sites (ljjyy.com, doc88.com)
• Link rot risk: if the external sites go down or restructure, the curriculum breaks
• The README provides no installation, no requirements.txt, no runnable examples

Verdict

Worth bookmarking if you’re a Chinese-speaking developer or researcher needing a structured entry point to knowledge graph construction. Skip it if you want clone-and-run code or are looking for English-language resources; this is a syllabus, not a framework.