Knowledge Graph Implementation Guide

Implementing a knowledge graph without production-ready code, URI governance, and validation workflows leads to brittle markup and inconsistent deployment—this Step 2 Technical Setup guide delivers copy-paste JSON-LD entities, config templates, CMS snippets, and a week-by-week rollout plan so teams can move from planning to reliable shipping with guardrails. It provides complete Organization/Person/Service/Article examples, a universal YAML config for IDs, slugs, and required properties, a JSON URI-mapping template for pages and priorities, and a Python validator to enforce required fields, URL hygiene, and bidirectional relationship integrity before anything goes live. Paired with WordPress and static-HTML drop-ins, a reusable relationship-pattern library, and a pre/ during/ post-deployment checklist, the guide turns abstract schema choices into a controlled, testable implementation pipeline.

The guide is organized for execution across eight parts: Part 1 supplies production-ready JSON-LD for core types (Organization, Person, Service, BlogPosting) with recommended properties and clear “where to embed” notes; Part 2 contributes a knowledge-graph-config.yaml for ID patterns, type allow-lists, required properties, validation flags, and output settings—plus a JSON URI map that binds entities to canonical pages and explicit deployment locations/priority; Part 3 lays out a four-week deployment workflow that sequences foundation entities, products/services, content markup, and extended network optimization; Part 4 ships a Python schema validator to catch missing required fields, malformed @ids, fragile descriptions, image-URL issues, and relationship errors; Part 5 adds WordPress functions.php snippets for Organization/Person/Article injection; Part 6 mirrors that for static sites with