Method and system for using query information to enhance catergorization and navigation within the whole knowledge base
First Claim
1. A computer implemented method to create a structure from a knowledge base of an organization, the knowledge base being part of a system comprising a document database (DB) and queries submitted by users concerning the documents, wherein the method performs definitive and decisive matching and grouping the queries into clusters to enable analysis of the knowledge base of the organization;
- the method comprising;
submitting by the users in the organization of queries having weighted characteristics;
recording the details of the submitter comprising at least;
job title;
department name; and
employee contact references comprising at least email address and level of security authorization;
comparing queries using a weight matrix generated by a distance function;
clustering of the queries into a semantic structure based on said weight matrix, by grouping said queries into a ‘
prioritized structure’
based on the comparison of a location of a word in said query to the location of the same word in another query; and
rating of a new query relative to the nearest of said clusters, wherein said new queries are evaluated in one of real-time and periodically, to determine whether to one of;
add said query to an existing cluster; and
form a separate “
satellite”
cluster.
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Accused Products
Abstract
A method is disclosed to create some structure from the knowledge base of an organization, the knowledge base including a document database (DB) and queries submitted by users concerning the documents, wherein the method performs monitoring and clustering to enable analysis of the ideas of the organization. The first step of the method involves users submitting queries by entries on a graphical user interface (GUTI). Subsequent steps include recording the queries of the organization, which includes saving submitter and organization information, comparing queries using a weight matrix generated by a distance function and clustering of the queries into a semantic structure.
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Citations
11 Claims
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1. A computer implemented method to create a structure from a knowledge base of an organization, the knowledge base being part of a system comprising a document database (DB) and queries submitted by users concerning the documents, wherein the method performs definitive and decisive matching and grouping the queries into clusters to enable analysis of the knowledge base of the organization;
- the method comprising;
submitting by the users in the organization of queries having weighted characteristics;
recording the details of the submitter comprising at least;
job title;
department name; and
employee contact references comprising at least email address and level of security authorization;
comparing queries using a weight matrix generated by a distance function;
clustering of the queries into a semantic structure based on said weight matrix, by grouping said queries into a ‘
prioritized structure’
based on the comparison of a location of a word in said query to the location of the same word in another query; and
rating of a new query relative to the nearest of said clusters, wherein said new queries are evaluated in one of real-time and periodically, to determine whether to one of;
add said query to an existing cluster; and
form a separate “
satellite”
cluster. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
- the method comprising;
Specification