Patent №
US 9,589,051
Granted
2017-03-07
Filed 2014
Owner
UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION
Lab
—
AI components
6
ml · nlp · vision · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
14371364
Described herein are methods and systems for hierarchically mapping, ranking, and labeling data sets automatically. Also provided are methods for browsing and navigating a hierarchically mapped data set, and START identifying changes in network structure over time. An example method may involve receiving document data indicating a corpus of documents and references between documents within the corpus. Based on the document data, a network comprising two or more nodes and at least one directed edge may be determined. Also, a hierarchical partition of the documents may be determined based on the directed edges of the network. The hierarchical partition may define a plurality of nested modules, and each module in the plurality of nested modules may be associated with one or more respective documents within the corpus. The method may additionally include causing a graphical display to provide a visual indication of one or more of the plurality of nested modules.
AI classification
Ownership
UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION
assignment · 309960526
Assignors
BERGSTROM, CARL, VILHENA, DARIL, WEST, JEVIN D., BERGSTROM, CARL, VILHENA, DARIL, WEST, JEVIN D.
On an employer assignment, the assignors are typically the inventors.