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Title: Systems and methods for automatically identifying and linking names in digital resources

Abstract

The present invention provides systems and methods for automatically identifying name-like-strings in digital resources, matching these name-like-string against a set of names held in an expertly curated database, and for those name-like-strings found in said database, enhancing the content by associating additional matter with the name, wherein said matter includes information about the names that is held within said database and pointers to other digital resources which include the same name and it synonyms.

Inventors:
; ; ;
Issue Date:
Research Org.:
NAMESFORLIFE, LLC, East Lansing, MI (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1502819
Patent Number(s):
10,204,168
Application Number:
15/615,171
Assignee:
NAMESFORLIFE, LLC (East Lansing, MI)
DOE Contract Number:  
FG02-07ER86321
Resource Type:
Patent
Resource Relation:
Patent File Date: 2017 Jun 06
Country of Publication:
United States
Language:
English
Subject:
96 KNOWLEDGE MANAGEMENT AND PRESERVATION; 97 MATHEMATICS AND COMPUTING

Citation Formats

Parker, Charles T., Lyons, Catherine M., Roston, Gerald P., and Garrity, George M. Systems and methods for automatically identifying and linking names in digital resources. United States: N. p., 2019. Web.
Parker, Charles T., Lyons, Catherine M., Roston, Gerald P., & Garrity, George M. Systems and methods for automatically identifying and linking names in digital resources. United States.
Parker, Charles T., Lyons, Catherine M., Roston, Gerald P., and Garrity, George M. Tue . "Systems and methods for automatically identifying and linking names in digital resources". United States. https://www.osti.gov/servlets/purl/1502819.
@article{osti_1502819,
title = {Systems and methods for automatically identifying and linking names in digital resources},
author = {Parker, Charles T. and Lyons, Catherine M. and Roston, Gerald P. and Garrity, George M.},
abstractNote = {The present invention provides systems and methods for automatically identifying name-like-strings in digital resources, matching these name-like-string against a set of names held in an expertly curated database, and for those name-like-strings found in said database, enhancing the content by associating additional matter with the name, wherein said matter includes information about the names that is held within said database and pointers to other digital resources which include the same name and it synonyms.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {2}
}

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