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Automated extraction of bio-entity relationships from literature

Title: Automated extraction of bio-entity relationships from literature.
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Name(s): Zhang, Jinyu, inventor
Type of Resource: text
Genre: Utility
Text
Date Created: 2014-11-06
Date Issued: 2017-01-10
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Automated, standardized and accurate extraction of relationships within text. Automatic extraction of such relationships/information allows the information to be stored in structured form so that it can be easily and accurately retrieved when needed. Such information can be used to build online search engines for highly specific and accurate information retrieval. Generally, according to the current invention, extracting such information (i.e., relationships within text) from raw text can be accomplished using natural language processing (NLP) and graph theoretic algorithm. Examples of such textual relationships include, but are not limited to, biological relationships between biological terms such as proteins, genes, pathways, diseases and drugs. The current methodology is also able to recognize negative dependences in context, match patterns, and provide a shortest path between related words.
Identifier: FSU_uspto_9542528 (IID), 9542528 (patent number), 949081 (inventor key), 14/534777 (app id), 6c9256d97d167832cbab694dc904bd27 (assignee id)
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_uspto_9542528
Use and Reproduction: Copyright not evaluated
Owner Institution: FSU

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Automated extraction of bio-entity relationships from literature. (2017). Automated extraction of bio-entity relationships from literature. Retrieved from http://purl.flvc.org/fsu/fd/FSU_uspto_9542528