Informatics and Applications
2016, Volume 10, Issue 1, pp 119-128
BioNLP ONTOLOGY EXTRACTION FROM A RESTRICTED LANGUAGE CORPUS WITH CONTEXT-FREE GRAMMARS
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.
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[+] About this article
Title
BioNLP ONTOLOGY EXTRACTION FROM A RESTRICTED LANGUAGE CORPUS WITH CONTEXT-FREE GRAMMARS
Journal
Informatics and Applications
2016, Volume 10, Issue 1, pp 119-128
Cover Date
2016-01-30
DOI
10.14357/19922264160111
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
BioNLP; ontology creation; context-free grammar
Authors
D. A. Alexeyevsky 
Author Affiliations
National Research University Higher School of Economics; 20 Myasnitskaya Str., Moscow 101000, Russian Federation
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