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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/doi: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: Article
    Copyright Holders: 2011 BioMed Central Ltd (licence), 2011 The Authors
    Funders: SWAT project [EPSRC grants EP/ G033579/1 and EP/G032459/1], EMBL 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
    Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
    Item ID: 28983
    Depositing User: Sandra Williams
    Date Deposited: 21 Jun 2011 13:23
    Last Modified: 22 Jun 2011 14:35
    URI: http://oro.open.ac.uk/id/eprint/28983
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