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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:
 [1];  [2];  [3]
  1. Kensington, CA
  2. St. Louis, MO
  3. Pleasant Hill, CA
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1019394
Patent Number(s):
7,987,191
Application Number:
US Patent Application 11/945,909
Assignee:
The Regents of The University of California (Oakland, CA) LBNL
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Franks, Kasian, Myers, Cornelia A, and Podowski, Raf M. System and method for generating a relationship network. United States: N. p., 2011. 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/1019394.
@article{osti_1019394,
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 = {2011},
month = {7}
}

Patent:

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