Knowledge Graph Fundamentals

## The Problem Every "knowledge graph" tutorial you find is either an academic paper full of RDF axioms and description logics — or a vendor-specific Neo4j blog post with no transferable theory. You want to actually *build* a knowledge graph: model your domain, query it efficiently, and put it in front of users. But the gap between academic standards and production tools is a canyon, and nobody is bridging it. ## What This Guide Does For You After reading this guide, you'll understand the core standards and design patterns that make knowledge graphs work — without the PhD prerequisite or the vendor lock-in. You'll be able to evaluate technology stacks, model your own domains, and deploy a production knowledge graph that actually connects your data. ## What You'll Be Able To Do - **Model any domain with RDF** — triples, IRIs, blank nodes, and serialization formats (Turtle, JSON-LD, RDF/XML) - **Query your graph with confidence** — SPARQL graph patterns, property paths, aggregates, federation, and updates - **Design ontologies that scale** — OWL 2 profiles, class hierarchies, property restrictions, and reasoning - **Validate data quality automatically** — SHACL constraint checking for production knowledge graphs - **Choose the right graph model** — RDF/SPARQL vs. property graphs/Cypher for your use case - **Manage provenance and versions** — named graphs for dataset management and change tracking - **Navigate the full lifecycle** — extraction, cleaning, linking, enrichment, publication - **Publish reusable Linked Data** — dereferenceable IRIs, content negotiation, and data reuse ## Who Will Benefit Most - Engineers moving from relational/SQL to graph-based data modeling - Data architects evaluating knowledge graph technology stacks - Technical leads adopting semantic web standards for enterprise integration ## What Success Looks Like You'll go from zero to your first deployed knowledge graph — with a clear understanding of RDF, SPARQL, and ontology design, plus the confidence to choose the right tools for your domain. You'll speak the language of semantic web standards fluently and know exactly when and why to use each one. ## Format & Delivery **Format:** PDF, approximately 50 pages, with RDF examples, SPARQL queries, and ontology diagrams.