FOR IMMEDIATE RELEASE
October 16, 2026. Ray Martinez today announced the launch of Knowledge Graph Navigator, an independent reference publication on knowledge graphs, entities and structured data written for developers and SEOs. The project also now has a verified organization on GitHub at github.com/Knowledge-Graph-Navigator.
Knowledge Graph Navigator explains how knowledge graphs work and how to use them. It covers the concepts, the standards, the public graphs that search engines and language models draw on, and the practical work of building a graph or marking up a site so machines can read it. It is a publication, not software. There is no product to buy and nothing to install.
“Most of what’s written about knowledge graphs is either academic or a schema plugin tutorial,” said Martinez. “I wanted one place that connects the two: how the graphs actually work, and what that means for the markup and content decisions SEOs make every day.”
What the site covers
The site launches with more than 50 reference pages organized into six sections:
- Core Concepts: knowledge graphs, entities, triples and ontologies, and how knowledge graphs differ from graph databases and vector databases.
- Languages and Formats: JSON-LD, RDFa, Microdata, Open Graph, RDF, SPARQL, OWL and SHACL, with working examples.
- Ecosystems and Knowledge Bases: the Google Knowledge Graph, knowledge panels, Wikidata and its query service, DBpedia and schema.org.
- Knowledge Graphs for SEO: entity SEO, semantic SEO, sameAs, Organization and Person markup, validation tools and AI search.
- Building Knowledge Graphs: modeling, extraction, storage and querying in Python, graph databases and GraphRAG.
- Recommended Reading: verified books, papers, specifications and courses.
A glossary defines every term the site uses. Good places to start are What is a knowledge graph? and the JSON-LD schema examples.
How the pages are checked
Every page follows the same editorial standards. Code is run before it is published, and SPARQL queries are run against the live endpoint they target, with the page reporting what they actually return. Books, papers, specifications and courses are confirmed for title, author, year and status before they are listed. Pages keep documented search engine behavior separate from inference, and they don’t state statistics or vendor claims that haven’t been confirmed. Tool comparisons describe capabilities and don’t rank products.
Knowledge Graph Navigator on GitHub
The Knowledge Graph Navigator organization on GitHub is the project’s home for developers. The organization is verified against the knowledgegraphnavigator.com domain, and its profile links each section of the site. The GitHub organization is also listed in the site’s Organization schema as a sameAs profile, so search engines can connect the two.
About Knowledge Graph Navigator
Knowledge Graph Navigator is an independent reference publication about knowledge graphs, entities and structured data for developers and SEOs. It publishes explanatory guides, worked examples, query and markup templates, and annotated reading lists. It is a personal project of Ray Martinez and is not published by or on behalf of Archer Education. Visit knowledgegraphnavigator.com.
About Ray Martinez
Ray Martinez is VP of SEO at Archer Education, where he works on organic search and AI search visibility for colleges and universities. He writes for Search Engine Land, teaches Trends in Media Technologies at the University of Florida, and created Search y Sazón, a community meetup for SEOs, content creators and marketers.
Contact
Questions, corrections and media inquiries about Knowledge Graph Navigator go through the site’s contact page.