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A competency question-oriented approach for the transformation of semi-structured bioinformatics data into linked open data

机译:一种将半结构化的生物信息学数据转换为链接的开放数据的面向问题的能力的方法

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摘要

Bioinformatics data obtained using different molecular biology techniques must be processed through different analysis tools to discover new biological knowledge. Since plain processed data have no explicit semantic value, the extraction of additional knowledge through data exploration would benefit from the transformation of bioinformatics data into Linked Open Data (LOD). Different approaches have been proposed to support the transformation of different types of biomedical data into LOD. However, these approaches are not flexible enough so they can be easily adapted for the transformation of semi-structured bioinformatics data into LOD. Thus, this paper proposes a novel approach to support such transformation. According to this approach, a set of competency questions drive not only the definition of transformation rules, but also the data transformation and exploration afterwards. The paper also presents a support toolset and describes the successful application of the proposed approach in the functional genomics domain.
机译:使用不同的分子生物学技术获得的生物信息学数据必须通过不同的分析工具进行处理,以发现新的生物学知识。由于普通处理的数据没有明确的语义价值,因此通过数据探索来提取其他知识将受益于将生物信息学数据转换为链接开放数据(LOD)。已经提出了不同的方法来支持将不同类型的生物医学数据转换为LOD。但是,这些方法不够灵活,因此很容易将它们用于将半结构化生物信息学数据转换为LOD。因此,本文提出了一种支持这种转换的新颖方法。按照这种方法,一组能力问题不仅会驱动转换规则的定义,而且还会驱动随后的数据转换和探索。本文还提供了一个支持工具集,并描述了该方法在功能基因组学领域的成功应用。

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