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:
- 1361426
- Patent Number(s):
- 9672293
- Application Number:
- 12/685,964
- Assignee:
- NamesforLife, LLC (East Lansing, MI)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
- DOE Contract Number:
- FG02-07ER86321
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2010 Jan 12
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 96 KNOWLEDGE MANAGEMENT AND PRESERVATION
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., 2017.
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/1361426.
@article{osti_1361426,
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 = {2017},
month = {6}
}
Works referenced in this record:
Unsupervised semantic markup of literature for biodiversity digital libraries
conference, January 2008
- Cui, Hong
- Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries - JCDL '08
High-Throughput Identification of Chemistry in Life Science Texts
book, January 2006
- Corbett, Peter; Murray-Rust, Peter; Hutchison, David
- Computational Life Sciences II, p. 107-118
A combining approach to find all taxon names (FAT)
journal, June 2006
- Sautter, Guido; Böhm, Klemens; Agosti, Donat
- Biodiversity Informatics, Vol. 3, Issue 0