  Disaster Management (DM) is a complex set of interrelated activities. The
activities are often knowledge intensive and time sensitive. Sharing the
required knowledge timely is critical for DM. In developed countries, for
recurring disasters (e.g. floods), there are dedicated document repositories of
Disaster Management Plans (DMP) that can be accessed as needs arise. However,
accessing the appropriate plan in a timely manner and sharing activities
between plans often requires domain knowledge and intimate knowledge of the
plans in the first place. In this paper, we introduce an agent-based knowledge
analysis method to convert DMPs into a collection of knowledge units that can
be stored into a unified repository. The repository of DM actions then enables
the mixing and matching knowledge between different plans. The repository is
structured as a layered abstraction according to Meta Object Facility (MOF). We
use the flood management plans used by SES in NSW to illustrate and give a
preliminary validation of the approach. It is illustrated using DMPs along the
flood prone Murrumbidgee River in central NSW.
