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Continuous Ontology Assurance through External Resources -- An Ontology Engineering Method with a Case Study in Software Language Engineering
RL

Ralf L\"ammel

· 1 min read

ResearcharXiv cs.AI

Continuous Ontology Assurance through External Resources -- An Ontology Engineering Method with a Case Study in Software Language Engineering

arXiv:2610.24322v1 Announce Type: new 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.

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This story was published by arXiv cs.AI and written by Ralf L\"ammel. SyncAI.news shows a preview; the complete article is on the publisher's site.

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