Stevens, Robert ; Malone, James ; Williams, Sandra; Power, Richard and Third, Allan
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|DOI (Digital Object Identifier) Link:||http://doi.org/10.1186/2041-1480-2-S2-S5|
|Google Scholar:||Look up in Google Scholar|
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|
|Project Funding Details:||
|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:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Sandra Williams|
|Date Deposited:||21 Jun 2011 12:23|
|Last Modified:||04 Oct 2016 11:07|
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