#SPARQL

Articles about SPARQL — exploring patterns, best practices, and real-world implementations in production systems.

1 post tagged with sparql. ← All posts

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Pratik Dhanave · ·6 min read

Querying a Knowledge Graph — SPARQL and Graph Patterns

A knowledge graph you can't query is just a diagram. The power of the graph is realized when you can ask it questions — and querying a graph is fundamentally different from querying tables. Instead of joining rows, you describe a pattern of connections and ask the graph to find every place that pattern occurs. This post covers SPARQL, the standard query language for RDF graphs, and the graph-pattern-matching mindset that makes graph queries so expressive for connected questions.

Querying a graph is pattern matching, not joining: you describe a shape of nodes and edges and the engine finds every match. SPARQL (and Cypher for property graphs), path expressions for arbitrary-depth connection that SQL can't express, and inference-aware queries over the reasoned graph.

#Knowledge Graphs#SPARQL#Query Languages#Semantic Web#Ontology#Databases

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.