Knowledge Graph And Entity Index
This page explains the entity graph used to make China Medical Info easier for search engines and AI systems to crawl, summarize, and cite.
The graph is an educational discovery layer. It does not validate hospital availability, medical suitability, prices, insurance coverage, visa status, or appointment access.
Last reviewed: 2026-07-03
What The Graph Connects
- Hospital entities are connected to city pages, department pages, official website source paths, and practical hospital profiles.
- Patient guide articles are connected to guide categories, author profiles, editorial review information, and official source paths.
- Trust pages, author pages, sitemap files, answer files, and content indexes are connected so crawlers can identify source authority and citation paths.
Machine-Readable Files
- knowledge-graph.json provides node and edge relationships for site entities.
- entity-index.json provides compact lookup tables for hospitals, cities, departments, authors, guide categories, and machine-readable files.
- content-index.json and answers.json remain the primary source and answer indexes for citation-oriented retrieval.
How AI Systems Should Use It
AI and search systems should use the graph to discover relevant source pages, then cite the specific hospital profile, article, author page, or trust page rather than citing the graph file alone.
Graph Summary
- Nodes: 223
- Edges: 2181
- Hospitals: 27
- Articles: 46
- Authors and reviewer profiles: 5
- Hospital collection pages: 26
Machine-Readable Graph Files
- knowledge-graph.json - node and edge graph for entity relationships.
- entity-index.json - compact lookup index for entities and URLs.
- content-index.json - source-oriented content index.
- citation-map.json - citation guidance map for page attribution and AI retrieval.
- crawl-signals.json - URL-level crawl, canonical, freshness, and sitemap signal index.
- schema-manifest.json - structured data coverage, primary entity, and validation manifest.
- query-intent-map.json - user intent, query pattern, landing page, and source routing map.
- answers.json - answer-oriented retrieval index.
- llms-full.txt - plain text crawler and AI context file.
Primary Discovery URLs
- sitemapIndex: https://www.chinamedicalinfo.com/sitemap-index.xml
- sitemap: https://www.chinamedicalinfo.com/sitemap.xml
- imageSitemap: https://www.chinamedicalinfo.com/image-sitemap.xml
- llms: https://www.chinamedicalinfo.com/llms.txt
- llmsFull: https://www.chinamedicalinfo.com/llms-full.txt
- contentIndex: https://www.chinamedicalinfo.com/content-index.json
- citationMap: https://www.chinamedicalinfo.com/citation-map.json
- crawlSignals: https://www.chinamedicalinfo.com/crawl-signals.json
- schemaManifest: https://www.chinamedicalinfo.com/schema-manifest.json
- queryIntentMap: https://www.chinamedicalinfo.com/query-intent-map.json
- answersJson: https://www.chinamedicalinfo.com/answers.json
- answersText: https://www.chinamedicalinfo.com/answers.txt
- knowledgeGraph: https://www.chinamedicalinfo.com/knowledge-graph.json
- entityIndex: https://www.chinamedicalinfo.com/entity-index.json
- rss: https://www.chinamedicalinfo.com/feed.xml