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A Unified Conceptual Model for Representation of Terminologies and References of Terms across Data Repositories in Biomedicine

机译:统一的概念模型,用于在Biomedicine中的数据存储库中的术语和术语的参考

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In Biomedicine, provision of high-quality knowledge in terms of terminologies and consistent cross-references is a cornerstone for information retrieval, information extraction, text mining and federation of data repositories. Since the late 90s we have been building knowledge resources to support these tasks. Over the years, we have gathered valuable experience by running various applications and by discussing with our scientists from different areas. Based on this experience, we are currently enhancing the content of our terminologies as well as the conceptual structures to represent cross-references. In the biomedical domain, there are long standing efforts to formally conceive knowledge repositories. With the era of the Semantic Web, a limited number of frameworks have achieved acceptance in the community aiming at semantic interoperability. Inspired by the knowledge engineering approaches in biomedicine, we propose a unified conceptual model for knowledge representation and its implementation. Contrary to the widespread frameworks, our model excels in its modularity. In addition, our formal approach is designed to be compatible to the main biomedical frameworks so that content can be exchanged in both directions.
机译:在Biomedicine中,在术语和一致的交叉引用方面提供高质量知识是信息检索,信息提取,文本挖掘和数据存储库联合的基石。自90年代后期以来,我们一直在建立知识资源来支持这些任务。多年来,我们通过从不同地区的科学家讨论各种应用程序并通过讨论各种各样的应用程序来聚集了宝贵的经验。基于这种经验,我们目前正在增强我们术语的内容以及代表交叉参考的概念结构。在生物医学领域,长期以来努力正式构思知识库。随着语义网络的时代,有限数量的框架已经在旨在获得语义互操作性的社区接受。灵感来自生物医学的知识工程方法,我们提出了一个统一的知识代表概念模型及其实施。与广泛的框架相反,我们的模型擅长其模块化。此外,我们的正式方法旨在与主要生物医学框架兼容,以便内容可以在两个方向上交换。

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