Stevens, Robert ; Malone, James ; Williams, Sandra; Power, Richard and Third, Allan
Automating generation of textual class definitions from OWL to English.
Journal of Biomedical Semantics, 2(S 2:S5)
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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.
||2011 BioMed Central Ltd (licence), 2011 The Authors
|Project Funding Details:
|Funded Project Name||Project ID||Funding Body|
|Not Set||Not Set||SWAT project [EPSRC grants EP/ G033579/1 and EP/G032459/1]|
|Not Set||Not Set||EMBL and EMERALD [project number LSHG-CT-2006- 037686]|
||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
||Text definitions for entities; ontologies; bioinformatics; natural language generation
||Mathematics, Computing and Technology > Computing & Communications
Knowledge Media Institute
|Interdisciplinary Research Centre:
||Centre for Research in Computing (CRC)
||21 Jun 2011 12:23
||29 Apr 2013 01:08
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