Expressing Biomedical Ontologies in Natural Language for Expert Evaluation

摘要：

　　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.

关键词： Natural Language Processing Biomedical Ontologies Knowledge Management

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

作者单位: School of Biomedical Informatics,University of Texas Health Science Center,Houston,Texas,United Stat School of Biomedical Informatics,University of Texas Health Science Center,Houston,Texas,United Stat University of Michigan,Ann Arbor,Michigan,United States

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 838-842

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）