Enabling Ontology Based Semantic Queries in Biomedical Database Systems.

Shuai Zheng, Fusheng Wang, James Lu, Joel Saltz
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Abstract

While current biomedical ontology repositories offer primitive query capabilities, it is difficult or cumbersome to support ontology based semantic queries directly in semantically annotated biomedical databases. The problem may be largely attributed to the mismatch between the models of the ontologies and the databases, and the mismatch between the query interfaces of the two systems. To fully realize semantic query capabilities based on ontologies, we develop a system DBOntoLink to provide unified semantic query interfaces by extending database query languages. With DBOntoLink, semantic queries can be directly and naturally specified as extended functions of the database query languages without any programming needed. DBOntoLink is adaptable to different ontologies through customizations and supports major biomedical ontologies hosted at the NCBO BioPortal. We demonstrate the use of DBOntoLink in a real world biomedical database with semantically annotated medical image annotations.

在生物医学数据库系统中实现基于本体的语义查询。
尽管当前的生物医学本体库提供了基本的查询功能,但要在有语义注释的生物医学数据库中直接支持基于本体的语义查询却非常困难或繁琐。造成这一问题的主要原因可能是本体和数据库的模型不匹配,以及两个系统的查询界面不匹配。为了充分实现基于本体的语义查询功能,我们开发了一个DBOntoLink系统,通过扩展数据库查询语言来提供统一的语义查询接口。有了DBOntoLink,语义查询可以直接自然地指定为数据库查询语言的扩展函数,而无需任何编程。DBOntoLink可通过定制适应不同的本体,并支持NCBO BioPortal托管的主要生物医学本体。我们演示了 DBOntoLink 在现实世界生物医学数据库中的应用,该数据库具有语义注释的医学图像注释。
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