Continuous Ontology Assurance through External Resources -- An Ontology Engineering Method with a Case Study in Software Language Engineering
cs.AI
Submitted: 2026-10-16
Updated: 2026-10-16
Comments: Under review
License: http://creativecommons.org/licenses/by/4.0/
The gist: Domain ontologies require review against knowledge recorded in evolving external resources.
Terminology
Abstract
Domain ontologies require review against knowledge recorded in evolving external resources. We propose COATER, a method that manages executable review components called arrows. Each arrow compares a scoped part of an ontology with a relevant resource and reports support or challenges to its axioms. Challenges may prompt proposals for completion, correction, or restructuring and become tasks for human or agent-assisted triage. Per-axiom coverage summarizes the assessments. We illustrate COATER with the FSL ontology in software language engineering (SLE): arrows review language coverage, language conceptualization, and software-engineering activities. An LLM-assisted linkage exercise increases compliance with a defined Wikipedia-linkage policy from 405 to 600 of 600 entities. A structured catalogue of SLE resources organizes review opportunities.
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems