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System, method, and computer program product for combination of cognitive causal models with reasoning and text processing for knowledge driven decision support

  • US 7,644,053 B2
  • Filed: 03/02/2005
  • Issued: 01/05/2010
  • Est. Priority Date: 03/03/2004
  • Status: Active Grant
First Claim
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1. A system for assisting knowledge driven decision support, comprising:

  • a processor configured to operate a directed acyclic graph Bayesian network of an unconstrained causal domain model, a text processing tool, and a reasoning tool;

    the unconstrained causal domain model configured to define and store, on a computer-readable medium, at least two domain concepts and at least one causal relationship between the domain concepts, wherein the directed acyclic graph Bayesian network is configured to represent a formalization of the unconstrained causal domain model with minimal information loss by eliminating cycles of the unconstrained causal domain model by computing information gain and eliminating influence arcs of the unconstrained causal domain model that minimizes information loss;

    the text processing tool configured to analyze at least one document using the directed acyclic graph Bayesian network to produce at least one text profile for the at least one document; and

    the reasoning tool configured to determine a result by analyzing the at least one text profile using at least one domain concept of the directed acyclic graph Bayesian network and one causal relationship of the domain concept, wherein the reasoning tool is further configured to use the text processing tool to use the directed acyclic graph Bayesian network, and wherein the reasoning tool is further configured to electronically present a display identifying the result of the analysis of the reasoning tool, providing a user the ability to use the result in a decision making process.

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