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Wednesday, December 01, 2004

The BCNGroup Beadgames

National Project à

Challenge Problem  à

Center of Excellence Proposal à 

 White Paper on Incident Information Orb Architecture (IIOA) à

Types of Ontology for Crisis Management à

   Adi Structural Ontology Part I  à

Cubicon language description à

Orb Notational Paper  à

 

 

 

 

We have been talking about the role that ontology may come to play in Department of Homeland Security (DHS) information systems, and in intrusion detection systems.

 

We have also been talking about the role that Readware structural ontology might play in a knowledge management system to be deployed in Europe.

 

These discussions are informed by the separation of ontology development and deployment tasks by considering three types of ontology:

 

       Physical infrastructure

 

       Real time conceptual mapping

 

       Workflow or process mapping

 

as discussed at:

 

Three Types of Ontology

 

 

The task of creating physical infrastructure ontology is best known, and the ontologists amongst us have increasing experience with this.

 

The ontology community has less experience with the workflow or process-mapping task.  The experience is there, but firm schools of thought have not developed on how best to define ontology of processes.  The key difficulty is when this task must be realized in systems having true complexity as expressed in complex natural systems: see Chapter 2, Foundations.

 

There are a number of individuals who have thought about formalisms on information for a decade or more.  The development of the knowledge sciences needs to trace this scholarship and extend the record of the scholarship back into the centuries, so as to establish the deep historical context to this most interesting problem, i.e. the nature and mechanisms of human thought and human communication.  

 

The task of creating real time conceptual mapping ontology is difficult to define because the nature of conceptual expression and natural language is not reducible in the same way as the inventory of physical infrastructure.  The scientific and technology difficulty in defining conceptual is not the only hurtle facing ontologists.

 

A consistent resistance by business and government institutions has exacerbated the technical and scientific community that has worked on this task.  Over the past three decades, many of us have seen types of technologies that exhibit high fidelity measurement of the mechanisms in large complex systems.  The Oracle ConText product, which was removed due to pressure on Larry Ellison by his sales force leadership, is but one example of a high fidelity tool for measuring thematic expression in text.