System And Method For Displaying Relationships Between Concepts to Provide Classification Suggestions Via Inclusion

• US 20110029531A1
• 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 8,700,627 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 for displaying relationships between concepts to provide classification suggestions via inclusion is provided. A set of reference concepts each associated with a classification code is designated. One or more of the reference concepts are combined with a set of uncoded concepts. Clusters of the uncoded concepts and the one or more reference concepts are generated. Relationships between the uncoded concepts and the one or more reference concepts in at least one cluster are visually depicted as suggestions for classifying the uncoded concepts in that cluster.

Claims

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

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

combining one or more of the reference concepts with a set of uncoded concepts;

generating clusters of the uncoded concepts and the one or more reference concepts; and

visually depicting relationships between the uncoded concepts and one or more reference concepts in at least one cluster as suggestions for classifying the uncoded concepts in that cluster.