Ontology Explained: Components, Importance & Implementation in 2026
Ontology gives AI systems shared meaning by providing structured systems of interrelated components that encode how meaning is used by AI systems.
SHACL 1.2 Rules
This document introduces inference rules for SHACL 1.2, providing a mechanism for deriving new RDF triples from existing RDF data through declarative rules.
SHACL 1.2 Overview
This document provides a non-normative, high-level overview of the various Shapes Constraint Language (SHACL) 1.2 specifications.
SHACL 1.2 Core
This document defines the Core of SHACL, the Shapes Constraint Language, which is used for describing the structure of RDF graphs.
Rethinking enterprise architecture for the agentic era
The article examines how enterprise architecture becomes more composable through an agentic mesh orchestration layer that connects AI agents to traditional systems.