System And Method For Displaying Relationships Between Concepts To Provide Classification Suggestions Via Injection

• US 20110029530A1
• Filed: 07/27/2010
• Published: 02/03/2011
• Est. Priority Date: 07/28/2009
• Status: Active Grant

• Current Assignee: Nuix North America Inc. (Nuix Ltd.)
• Original Assignee: Vanderbilt Minerals, LLC
• Inventors: Conwell, John W., Nussbaum, Nicholas I., Knight, William C.
• Granted Patent: US 9,477,751 B2
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 16/287 Visualization; Browsing
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06F 16/353 into predefined classes
• CPC Class Codes: G06F 16/355 Class or cluster creation or modification
• CPC Class Codes: G06F 16/358 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/954 Navigation, e.g. using categorised browsing
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/047 Pattern matching networks; Rete networks
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks

Abstract

A system and method for displaying relationships between concepts to provide classification suggestions via injection is provided. A reference set of concepts each associated with a classification code is designated. Clusters of uncoded concepts are designated. One or more of the uncoded concepts from at least one cluster are compared to the reference set. At least one of the concepts in the reference set that is similar to the one or more uncoded concepts is identified. The similar concepts are injected into the at least one cluster. Relationships between the uncoded concepts and the similar concepts in the at least one cluster are visually depicted as suggestions for classifying the uncoded concepts.

Claims

1. A method for displaying relationships between concepts to provide classification suggestions via injection, comprising:

designating a reference set comprising concepts each associated with a classification code;

designating clusters of uncoded concepts;

comparing one or more of the uncoded concepts from at least one cluster to the reference set;

identifying at least one of the concepts in the reference set that is similar to the one or more uncoded concepts;

injecting the similar concepts into the at least one cluster; and

visually depicting relationships between the uncoded concepts and the similar concepts in the at least one cluster as suggestions for classifying the uncoded concepts.