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Towards transparent access to multiple biological databanks

机译:透明地访问多个生物数据库

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摘要

Nowadays, biologists use a number of large biological databanks to find relevant information for their research. Users of these databanks face a number of problems. One problem is that users are required to have good knowledge about the contents, implementations and conceptual models of many databanks to be able to ask precise and relevant questions. Further, the terminology that is used in the different databanks may be different. Also, when asking complex queries to multiple databanks, users need to construct a query plan on their own possibly leading to poor performance or not even obtaining results. To alleviate these problems we define an architecture for systems that deal with these problems by allowing for a transparent and integrated way to query the multiple sources. The contribution of this paper is threefold. First, we describe a study of current biological databanks. Then, we propose a base query language that contains operators that should be present in any query language for biological databanks. Further, we present an architecture for a system supporting such a language and providing integrated access to the highly distributed and heterogeneous environment of biological databanks.
机译:如今,生物学家使用大量的大型生物数据库来寻找相关信息以进行研究。这些数据库的用户面临许多问题。一个问题是,要求用户对许多数据库的内容,实现和概念模型有充分的了解,以便能够提出准确而相关的问题。此外,在不同数据库中使用的术语可能不同。同样,当向多个数据库查询复杂查询时,用户需要自行构建查询计划,这可能会导致性能下降甚至无法获得结果。为了减轻这些问题,我们通过允许以透明和集成的方式查询多个源的方式来定义用于处理这些问题的系统的体系结构。本文的贡献是三方面的。首先,我们描述对当前生物数据库的研究。然后,我们提出了一种基本查询语言,其中包含在生物数据库的任何查询语言中都应该存在的运算符。此外,我们提出了一种支持这种语言并提供对生物数据库的高度分布式和异构环境的集成访问的系统架构。

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