基于邻近概念信息的FMA本体概念名消歧法 |
投稿时间:2017-09-30 点此下载全文 |
引用本文:王浩茂,梁铮,周小茜,等.基于邻近概念信息的FMA本体概念名消歧法[J].医学信息学杂志,2018,39(3):60-64,80 |
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基金项目:国家自然科学基金(项目编号:61502221);湖南省教育厅优秀青年项目(项目编号:14B153)。 |
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中文摘要:提出一种基于本体中概念间的父子关系以及词法信息的自动消歧法,以消除解剖学基础模型本体中含有介词时概念名中的歧义,具体介绍研究对象、技术基础和研究方法。结果显示该方法能成功解析90.95%含有单个介词of的概念名,消除其中原有的歧义。 |
中文关键词:本体 消歧 结构关系 词法信息 |
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Disambiguation Method of FMA Ontology Concept Names Based on Close Concept Information |
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Abstract:The paper puts forward a method that disambiguates automatically based on paternity and lexical information of ontology intermediate concept to disambiguate concept names containing prepositions in ontology of foundational model of anatomy, introduces study object, technical basis and study method in details. The result shows that the method is able to analyze 90.95% of concept names containing a single proposition and clears up the original ambiguity contained. |
keywords:Ontology Disambiguation Structure relation Phrase information |
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