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Unlocking Medical Ontologies for Non-Ontology Experts.

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posted on 2023-06-08, 05:14 authored by Shao Fen Liang, Donia Scott, Robert Stevens, Alan Rector
Ontology authoring is a specialised task requiring amongst other things a deep knowledge of the ontology language being used. Understanding and reusing ontologies can thus be difficult for domain experts, who tend not to be ontology experts. To address this problem, we have developed a Natural Language Generation system for transforming the axioms that form the definitions of ontology classes into Natural Language paragraphs. Our method relies on deploying ontology axioms into a top-level Rhetorical Structure Theory schema. Axioms are ordered and structured with specific rhetorical relations under rhetorical structure trees. We describe here an implementation that focuses on a sub-module of SNOMED CT. With some refinements on articles and layout, the resulting paragraphs are fluent and coherent, offering a way for subject specialists to understand an ontology’s content without need to understand its logical representation.

History

Publication status

  • Published

Presentation Type

  • paper

Event name

10th Workshop on Biomedical Natural Language Processing , (BioNLP-2011)

Event location

Portland, Oregon.

Event type

conference

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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