This ontology models the complete lifecycle of a corporate meeting — from
agenda planning through participant attendance, to the decisions made and
action items generated. It represents the domain that an AI agent needs to
understand in order to automatically produce structured Meeting Minutes (MOM)
and track accountability across teams.
In most organizations, meeting notes exist as unstructured documents with no
machine-readable connection between who decided what, which agenda item drove
a decision, or who owns a follow-up. This ontology gives both humans and AI
agents a consistent semantic layer to answer questions like "show me all open
action items from this month's governance meetings assigned to me" or "which
decision came out of the risk agenda item?" — without relying on keyword search
or manual tagging.
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