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An annotation database for multimodal scientific data

机译:用于多模式科学数据的注释数据库

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In many collaborative research environments novel tools and techniques allow researchers to generate data from experiments and observations at a staggering rate. Researchers in these areas are now facing the strong need for querying, sharing and exchanging these data in a uniform and transparent fashion. However, due to the nature of the various types of heterogeneous data and lack of local and global database structures, standard data integration approaches fail or are not applicable. A viable solution to this problem is the extensive use of metadata. In this paper we present the model of an annotation management system suitable for such research environments, and discuss some aspects of its implementation. Annotations provide rich linkage structure between data and between themselves that translates in a complex graph structure of which annotations and data are the nodes. We show how annotations are managed and used for data retrieval and outline some of the query techniques used in the system.
机译:在许多协作研究环境中,新颖的工具和技术允许研究人员以惊人的速度从实验和观察中产生数据。这些领域的研究人员现在面临着以统一和透明的方式查询,共享和交换这些数据的强烈需求。但是,由于各种异构数据的性质和缺乏本地和全局数据库结构,标准数据集成方法失败或不适用。对此问题的可行解决方案是元数据的广泛使用。在本文中,我们介绍了适用于此类研究环境的注释管理系统的模型,并讨论其实施的一些方面。注释提供数据之间的丰富链接结构,并且在它们之间,在复杂的图形结构中翻译,其中注释和数据是节点。我们展示了如何管理注释并用于数据检索,并概述系统中使用的一些查询技术。

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