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Semantic reasoner
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Software that infers logical conclusions from asserted facts and axioms.
Technical Definition
Software that infers logical conclusions from asserted facts and axioms.
How it works
A semantic reasoner, or inference engine, is software that deduces logical consequences from a given set of facts and axioms, often defined using ontologies. It uses various reasoning techniques, commonly forward or backward chaining, to derive new implicit knowledge. Reasoners are essential for knowledge management and AI systems that require logical inference capabilities.
Related Concepts
- Knowledge Representation — How facts and relationships are encoded so a system can reason over them.
- Ontology — A formal specification of the concepts, properties, and relationships in a domain.
- Description logic (DL) — A family of formal knowledge representation languages used for AI, offering more expressivity than propositional logic but with decidable reasoning.
- Inference engine — A component of an AI system that uses logical rules to deduce new information from a knowledge base.