Automating Generation of Textual Class Definitions from OWL to English

R Stevens; J Malone; S Williams; R Power; A Third

Automating Generation of Textual Class Definitions from OWL to English

R Stevens, J Malone, S Williams, R Power, A Third

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of Bio-ontologies SIG; Co-located with ISMB, Boston, MA, USA
Publication status	Published - 2010

Cite this

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title = "Automating Generation of Textual Class Definitions from OWL to English",

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.",

author = "R Stevens and J Malone and S Williams and R Power and A Third",

note = "Proceedings Now Available in 2011 BioMed Central Ltd with - ISSN 2041-1480 and DOI: http://dx.doi.org/10.1186/2041-1480-2-S2-S5",

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AU - Stevens, R

AU - Malone, J

AU - Williams, S

AU - Power, R

AU - Third, A

N1 - Proceedings Now Available in 2011 BioMed Central Ltd with - ISSN 2041-1480 and DOI: http://dx.doi.org/10.1186/2041-1480-2-S2-S5

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

M3 - Conference contribution

BT - Proceedings of Bio-ontologies SIG; Co-located with ISMB, Boston, MA, USA

ER -

Automating Generation of Textual Class Definitions from OWL to English

Abstract

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