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Informatika i Ee Primeneniya [Informatics and its Applications], 2016, Volume 10, Issue 1, Pages 119–128
DOI: https://doi.org/10.14357/19922264160111
(Mi ia409)
 

BioNLP ontology extraction from a restricted language corpus with context-free grammars

D. A. Alexeyevsky

National Research University Higher School of Economics; 20 Myasnitskaya Str., Moscow 101000, Russian Federation
References:
Abstract: BioNLP is an emerging area of NLP that brings new challenging objects for language processing and new valuable resources for bioinformatics and medicine. One notable task in BioNLP is creating de-novo ontologies. This is generally a tedious process; however, in some cases, it is possible to automate it to some extent. One such case is when a corpus of texts in a restricted subset of natural language is available. This paper presents a simple approach to automate ontology creation in such cases. The approach is aimed to simplify mapping of entities in natural texts to predefined ontologies wherever possible. The paper discusses which properties of the corpus enable the approach presented.
Keywords: BioNLP; ontology creation; context-free grammar.
Funding agency Grant number
Russian Foundation for Basic Research 15-07-09306_а
The work was partly supported by the Russian Foundation for Basic Research (project 15-07-09306).
Received: 23.09.2015
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: D. A. Alexeyevsky, “BioNLP ontology extraction from a restricted language corpus with context-free grammars”, Inform. Primen., 10:1 (2016), 119–128
Citation in format AMSBIB
\Bibitem{Ale16}
\by D.~A.~Alexeyevsky
\paper BioNLP ontology extraction from a restricted language corpus with context-free grammars
\jour Inform. Primen.
\yr 2016
\vol 10
\issue 1
\pages 119--128
\mathnet{http://mi.mathnet.ru/ia409}
\crossref{https://doi.org/10.14357/19922264160111}
\elib{https://elibrary.ru/item.asp?id=26008736}
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  • https://www.mathnet.ru/eng/ia/v10/i1/p119
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    Информатика и её применения
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