一个通往大型复杂知识库——解剖学基础模型的自然语言界面原型。
A prototype natural language interface to a large complex knowledge base, the Foundational Model of Anatomy.
作者信息
Distelhorst Gregory, Srivastava Vishrut, Rosse Cornelius, Brinkley James F
机构信息
Departments of Biological Structure and Medical Education and Biomedical Informatics, University of Washington, Seattle, WA 98195, USA.
出版信息
AMIA Annu Symp Proc. 2003;2003:200-4.
We describe a constrained natural language interface to a large knowledge base, the Foundational Model of Anatomy (FMA). The interface, called GAPP, handles simple or nested questions that can be parsed to the form, subject-relation-object, where subject or object is unknown. With the aid of domain-specific dictionaries the parsed sentence is converted to queries in the StruQL graph-searching query language, then sent to a server we developed, called OQAFMA, that queries the FMA and returns output as XML. Preliminary evaluation shows that GAPP has the potential to be used in the evaluation of the FMA by domain experts in anatomy.
我们描述了一种用于大型知识库——解剖学基础模型（FMA）的受限自然语言接口。该接口名为GAPP，可处理能够解析为“主语-关系-宾语”形式的简单或嵌套问题，其中主语或宾语可能未知。借助特定领域的词典，解析后的句子会被转换为StruQL图形搜索查询语言中的查询，然后发送到我们开发的名为OQAFMA的服务器，该服务器会查询FMA并以XML形式返回输出。初步评估表明，GAPP有潜力被解剖学领域专家用于FMA的评估。
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