Patent ID: 7792786
Filing Date: 2010-09-07
Classification: G06F,G06Q

Abstract:
1. A method for use with a set of seed documents P 0 extracted from a data warehouse, the method comprising: searching the data warehouse to provide a set of additional documents P generating an initial taxonomy for a combined document set P classifying the combined document set P generating a contingency table that compares categories of a refined taxonomy to the structured fields in cells and assigns a degree of significance to the comparisons in each cell; examining the contingency table to find a relationship between the categories of the refined taxonomy and the names of people wherein said relationship is plotted according to the degree of significance of respective cells to determine who is related to which document categories, hence who has what expertise; overlaying trending information on top of a document taxonomy and contingency table; using the contingency table to identify recent and most related expertise taxonomies and people; iterating the processes of extracting, searching, and generating using domain knowledge to produce the refined taxonomy from the initial taxonomy; comparing one name classification against another name classification in the refined taxonomy; and identifying people with similar expertise by examining highly related people names using network graph analysis or other relationships in the structured and unstructured fields.