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Automating generation of textual class definitions from OWL to English

Stevens, Robert ; Malone, James ; Williams, Sandra; Power, Richard and Third, Allan (2011). Automating generation of textual class definitions from OWL to English. Journal of Biomedical Semantics, 2(S 2:S5)

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DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1186/2041-1480-2-S2-S5
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Abstract

Text definitions for entities within bio-ontologies are a cornerstone of the effort to gain a consensus in understanding and usage of those ontologies.
Writing these definitions is, however, a considerable effort and there is often a lag between specification of the main part of an ontology (logical descriptions and
definitions of entities) and the development of the text-based definitions. The goal of natural language generation (NLG) from ontologies is to take the logical description of entities and generate fluent natural language. The application described here uses NLG to automatically provide text-based definitions from an ontology that has logical descriptions of its entities, so avoiding the bottleneck of authoring these definitions by hand.

Item Type: Journal Article
Copyright Holders: 2011 BioMed Central Ltd (licence), 2011 The Authors
ISSN: 2041-1480
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetSWAT project [EPSRC grants EP/ G033579/1 and EP/G032459/1]
Not SetNot SetEMBL and EMERALD [project number LSHG-CT-2006- 037686]
Extra Information: Proceeding: of the Bio-Ontologies Special Interest Group Meeting 2010
Conference: Bio-Ontologies 2010: Semanitc Application in Life Sciences in Boston, MA, USA 9-10 July 2010
Keywords: Text definitions for entities; ontologies; bioinformatics; natural language generation
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 28983
Depositing User: Sandra Williams
Date Deposited: 21 Jun 2011 12:23
Last Modified: 29 Apr 2013 01:08
URI: http://oro.open.ac.uk/id/eprint/28983
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