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OQAFMA Querying Agent for the Foundational Model of Anatomy: a Prototype for Providing Flexible and Efficient Access to Large Semantic Networks

机译:用于解剖学基础模型的OQAFMA查询代理:一种提供对大型语义网络的灵活高效访问的原型

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摘要

The development of large semantic networks, such as the UMLS, which are intended to support a variety of applications, requires a exible and e cient query interface for the extraction of information. Using one of the source vocabularies of UMLS as a test bed, we have developed such a prototype query interface. We rst identify common classes of queries needed by applications that access these semantic networks. Next, we survey STRUQL, an existing query language that we adopted, which supports all of these classes of queries. We then describe the OQAFMA Querying Agent for the Foundational Model of Anatomy (OQAFMA), which provides an e cient implementation of a subset of STRUQL by pre-computing a variety of indices. We describe how OQAFMA leverages database optimization by converting STRUQL queries to SQL. We evaluate the exibility and e ciency of our implementation using English queries written by anatomists. This evaluation veri es that OQAFMA provides exible, e cient access to one such large semantic network, the Foundational Model of Anatomy, and suggests that OQAFMA could be an e cient query interface to other large biomedical knowledge bases, such as the Uni ed Medical Language System.
机译:旨在支持各种应用程序的大型语义网络(例如UMLS)的开发需要一个灵活,高效的查询接口来提取信息。使用UMLS的源词汇之一作为测试平台,我们开发了这样的原型查询界面。我们首先确定访问这些语义网络的应用程序所需的常见查询类别。接下来,我们调查STRUQL,这是一种我们采用的现有查询语言,它支持所有这些查询类。然后,我们描述用于基本解剖模型(OQAFMA)的OQAFMA查询代理,该代理通过预先计算各种索引来提供STRUQL子集的有效实现。我们描述了OQAFMA如何通过将STRUQL查询转换为SQL来利用数据库优化。我们使用解剖学家编写的英语查询来评估实施的可行性和效率。该评估证明,OQAFMA提供了对这样一个大型语义网络(解剖学的基础模型)的便捷,有效的访问,并表明OQAFMA可以成为对其他大型生物医学知识库(如统一医学语言)的有效查询界面系统。

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