Komatsoulis George A, Warzel Denise B, Hartel Francis W, Shanbhag Krishnakant, Chilukuri Ram, Fragoso Gilberto, Coronado Sherri de, Reeves Dianne M, Hadfield Jillaine B, Ludet Christophe, Covitz Peter A
National Cancer Institute Center for Bioinformatics (NCICB), 2115 E. Jefferson St., Suite 5000, Rockville, MD 20852, USA.
J Biomed Inform. 2008 Feb;41(1):106-23. doi: 10.1016/j.jbi.2007.03.009. Epub 2007 Apr 2.
One of the requirements for a federated information system is interoperability, the ability of one computer system to access and use the resources of another system. This feature is particularly important in biomedical research systems, which need to coordinate a variety of disparate types of data. In order to meet this need, the National Cancer Institute Center for Bioinformatics (NCICB) has created the cancer Common Ontologic Representation Environment (caCORE), an interoperability infrastructure based on Model Driven Architecture. The caCORE infrastructure provides a mechanism to create interoperable biomedical information systems. Systems built using the caCORE paradigm address both aspects of interoperability: the ability to access data (syntactic interoperability) and understand the data once retrieved (semantic interoperability). This infrastructure consists of an integrated set of three major components: a controlled terminology service (Enterprise Vocabulary Services), a standards-based metadata repository (the cancer Data Standards Repository) and an information system with an Application Programming Interface (API) based on Domain Model Driven Architecture. This infrastructure is being leveraged to create a Semantic Service-Oriented Architecture (SSOA) for cancer research by the National Cancer Institute's cancer Biomedical Informatics Grid (caBIG).
联邦信息系统的要求之一是互操作性，即一个计算机系统访问和使用另一个系统资源的能力。这一特性在生物医学研究系统中尤为重要，因为这类系统需要协调各种不同类型的数据。为满足这一需求，美国国家癌症研究所生物信息学中心（NCICB）创建了癌症通用本体表示环境（caCORE），这是一个基于模型驱动架构的互操作性基础设施。caCORE基础设施提供了一种创建可互操作生物医学信息系统的机制。使用caCORE范式构建的系统解决了互操作性的两个方面：访问数据的能力（语法互操作性）以及检索到数据后理解数据的能力（语义互操作性）。该基础设施由一组集成的三个主要组件组成：一个受控术语服务（企业词汇服务）、一个基于标准的元数据存储库（癌症数据标准存储库）以及一个具有基于领域模型驱动架构的应用程序编程接口（API）的信息系统。美国国家癌症研究所的癌症生物医学信息网格（caBIG）正在利用这一基础设施为癌症研究创建一个面向语义服务的架构（SSOA）。
