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reasoning engine

5 articles · Page 1 of 1
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Nov 13, 2026 · Artificial Intelligence

OntologyL_Cypher: First Ontology Language Custom-Built for Product-Driven Reasoning

OntoL's OntologyL_Cypher (OLC) is China's first ontology language tailored for a specific ontology product, orchestrating SQL, Cypher, and SPARQL across relational and graph databases to provide a unified scheduling layer that manages reasoning contexts, optimizes cross-source queries, and defines inference boundaries for industrial ontology applications.

CypherOLCOWL2
0 likes · 16 min read
OntologyL_Cypher: First Ontology Language Custom-Built for Product-Driven Reasoning
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Nov 5, 2026 · Artificial Intelligence

OntologyL_Cypher 1.0: Executable Ontology Functions for AI and Complex Business

OntologyL_Cypher 1.0 introduces a chainable ontology function language that enables direct execution of business logic on knowledge graphs, featuring 49 methods for querying, filtering, traversal, aggregation, and writing, with AI-friendly design, fail-fast semantics, native spatio-temporal reasoning, and integration with databases and external tools.

AI-generated codeOntologyL_Cypherfail-fast semantics
0 likes · 13 min read
OntologyL_Cypher 1.0: Executable Ontology Functions for AI and Complex Business
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Oct 29, 2026 · Artificial Intelligence

qOntology vs OntoL: Modeling Workbench vs Reasoning Engine – Complete Comparison

This article compares qOntology, an open-source ontology modeling and semantic governance workbench focused on TBox design and collaboration, with OntoL, a closed-source runtime reasoning engine featuring a custom reasoner for TBox+ABox inference, SHACL validation, and industrial event-driven reasoning, showing how they complement each other in a combined pipeline.

ABoxIndustrial IoTSHACL
0 likes · 12 min read
qOntology vs OntoL: Modeling Workbench vs Reasoning Engine – Complete Comparison
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 2, 2026 · Artificial Intelligence

Case Study: Ontology Implementation Pitfalls in a Women’s Apparel Startup

The article critiques a women’s apparel startup’s ontology setup, showing how its reliance on static graphs, SQL queries, and a large language model yields a hard‑coded analysis pipeline rather than true multi‑hop reasoning, and explains why a proper reasoning engine is essential for scenario‑driven inference.

LLMMCPdata inference
0 likes · 6 min read
Case Study: Ontology Implementation Pitfalls in a Women’s Apparel Startup