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:
-
- Kensington, CA
- St. Louis, MO
- Pleasant Hill, CA
- Issue Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1019394
- Patent Number(s):
- 7987191
- Application Number:
- US Patent Application 11/945,909
- Assignee:
- The Regents of The University of California (Oakland, CA)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
- 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 = {Tue Jul 26 00:00:00 EDT 2011},
month = {Tue Jul 26 00:00:00 EDT 2011}
}
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