Published best practices can be replayed for you as an expert advisory agent to help you navigate discovery through the inter-networked fabric of interrelated document classification trees in the domain. They also provide an excellent learning simulation environment since best practice rules can be played forward (What if?…What is?…What else?) or backward (Why?), emulating inductive and deductive reasoning, using controls much like a standard television VCR.

Adaptive classification taxonomies harness infoglut for a world in transition
While automated classification has become an essential ingredient to maintain the sheer volume and pace of change in a world in rapid transition, it's critical that corporations approach classification as much more than just another type of record management automation technology. Adaptive classification taxonomies provide more than the empty taxonomy shell delivered by static neural networks. They deliver a multidimensional collection of dynamic classification taxonomies that hyperlink into the core of the domain's rich knowledge fabric.

This fabric can capture and harness not only the knowledge within the domain documents, but can also capture and harness the experiential and tacit knowledge of its users based on usage behaviors. It dynamically builds a powerful information and knowledge mining environment which continues to grow and adapt in strength by managing the daily production of documents in the front and back office unobtrusively to you.

Bain McKay is an Executive Vice President with CORedge Software Inc., which you can check out at http://www.coredge.com, and Chief Scientist with Knowledge Management Technology, CIRI Lab. He can be reached at bmckay@tsg.com or at http://www.tsg.com.