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Title: System and method for generating a relationship network

Abstract

A computer-implemented system and process for generating a relationship network is disclosed. The system provides a set of data items to be related and generates variable length data vectors to represent the relationships between the terms within each data item. The system can be used to generate a relationship network for documents, images, or any other type of file. This relationship network can then be queried to discover the relationships between terms within the set of data items.

Inventors:
; ;
Issue Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1179004
Patent Number(s):
9,026,543
Application Number:
13/190,365
Assignee:
The Regents of the University of California (Oakland, CA)
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Patent
Resource Relation:
Patent File Date: 2011 Jul 25
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 99 GENERAL AND MISCELLANEOUS

Citation Formats

Franks, Kasian, Myers, Cornelia A, and Podowski, Raf M. System and method for generating a relationship network. United States: N. p., 2015. Web.
Franks, Kasian, Myers, Cornelia A, & Podowski, Raf M. System and method for generating a relationship network. United States.
Franks, Kasian, Myers, Cornelia A, and Podowski, Raf M. Tue . "System and method for generating a relationship network". United States. https://www.osti.gov/servlets/purl/1179004.
@article{osti_1179004,
title = {System and method for generating a relationship network},
author = {Franks, Kasian and Myers, Cornelia A and Podowski, Raf M},
abstractNote = {A computer-implemented system and process for generating a relationship network is disclosed. The system provides a set of data items to be related and generates variable length data vectors to represent the relationships between the terms within each data item. The system can be used to generate a relationship network for documents, images, or any other type of file. This relationship network can then be queried to discover the relationships between terms within the set of data items.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {5}
}

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Works referenced in this record:

Growth and decay of random Fibonacci sequences
journal, July 1999

  • Embree, Mark; Trefethen, Lloyd N.
  • Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, Vol. 455, Issue 1987
  • DOI: 10.1098/rspa.1999.0412