Orchestrate a hierarchical ontology engineering skill family for a specific domain. Use when the user wants end-to-end planning, team composition, research, ontology construction, validation, and release guidance grounded in competency questions, evidence, reuse-first modeling, and human review gates.
Turn research outputs into a domain ontology draft using layered modeling, SKOS-first conceptualization, selective OWL formalization, and explicit modeling decisions tied back to evidence.
Design and refine competency questions for a domain ontology project, connecting user goals to testable questions, expected answer shapes, and later validation checks.
Curate ontology-ready evidence from collected sources by capturing concept definitions, relation clues, constraints, reuse notes, data collection feasibility, and source-grounded synthesis in the exe folder.
Design a domain ontology from evidence using layered modeling, stable concept definitions, explicit relations, SKOS-first structure, and selective OWL formalization with recorded modeling decisions.
Plan a domain ontology effort by clarifying scope, composing the working team, defining competency questions, and setting risk and approval gates before research begins.
Run the research stage for a domain ontology project by collecting primary sources, checking whether the needed data is actually collectible in practice, curating evidence, identifying reuse candidates, and writing research artifacts to the exe folder.
Find and triage primary sources, standards, ontologies, schemas, and domain documents for ontology projects, while checking whether usable data can actually be collected and logging the full research process in the exe folder.
Draft or refine a technical planning document template for an ontology project. Use when the user wants a technical proposal, planning brief, or reusable template that connects scope, competency questions, standards reuse, modeling approach, validation, governance, and execution phases without drifting into a…
Validate a domain ontology draft using competency-question checks, SHACL-oriented structural validation, review gates, and release-readiness criteria before the ontology is treated as stable.
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