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In the world of structured data, semantic models help organize and query relationships between entities, attributes, and data points. Whether you’re working with knowledge graphs, AI-driven insights, or APIs, the ability to query this data efficiently is critical. That’s where JSON query languages step in—they simplify extracting and managing data formatted in JSON (JavaScript Object Notation).
This guide unpacks what JSON query languages are, how they work in semantic models, and their advantages compared to traditional options like SPARQL.
Understanding Semantic Models
Semantic models provide a structured framework to represent complex datasets, focusing on relationships and hierarchies. They’re widely
This is the first part of the article
