Expressing biomedical ontologies in natural language for expert evaluation

Muhammad Amith, Frank J. Manion, Marcelline R. Harris, Yaoyun Zhang, Hua Xu, Cui Tao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

We report on a study of our custom Hootation software for the purposes of assessing its ability to produce clear and accurate natural language phrases from axioms embedded in three biomedical ontologies. Using multiple domain experts and three discrete rating scales, we evaluated the tool on clarity of the natural language produced, fidelity of the natural language produced from the ontology to the axiom, and the fidelity of the domain knowledge represented by the axioms. Results show that Hootation provided relatively clear natural language equivalents for a select set of OWL axioms, although the clarity of statements hinges on the accuracy and representation of axioms in the ontology.

Original languageEnglish (US)
Title of host publicationMEDINFO 2017
Subtitle of host publicationPrecision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
EditorsZhao Dongsheng, Adi V. Gundlapalli, Jaulent Marie-Christine
PublisherIOS Press
Pages838-842
Number of pages5
ISBN (Electronic)9781614998297
DOIs
StatePublished - 2017
Externally publishedYes
Event16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China
Duration: Aug 21 2017Aug 25 2017

Publication series

NameStudies in Health Technology and Informatics
Volume245
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
Country/TerritoryChina
CityHangzhou
Period8/21/178/25/17

Keywords

  • Biomedical ontologies
  • Knowledge management
  • Natural language processing

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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