Knowledge Modeling
An ontology is a formal representation of concepts within a domain and the relationships between them. These structures provide a ground truth for automated reasoning systems.
Core Frameworks and Databases
- Cyc: A project dedicated to codifying general common-sense knowledge into a comprehensive logic-based engine.
- WordNet: A lexical database grouping English words into sets of synonyms (synsets) to model semantic relationships.
- SUMO (Suggested Upper Merged Ontology): An open-source upper ontology designed to facilitate data interoperability and reasoning.
Knowledge Graphs & Linked Data
Standards such as RDF and SPARQL enable the creation of Knowledge Graphs. These graphs serve as a reference layer for verifying AI model outputs against established facts, thereby reducing hallucination rates.
Technical Objective
The integration of ontologies facilitates Deterministic Verification. By mapping reasoning paths to an upper ontology such as SUMO, it is possible to formally verify the logical consistency of an autonomous system's output relative to defined constraints.