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XBRL Metadata Repository and Continuous Data Mining

机译:XBRL元数据存储库和连续数据挖掘

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摘要

XBRL uses internationally accepted network financial reporting standards to create a taxonomy which is allowed an exchangeable and extraction of data across all software and technologies. It make enterprise metadata repository involving XBRL metadata became one of the important research issues. The requirements of metadata management for XBRL documents and continuous data mining are described. Then a meta-model and architecture for a metadata repository and data mining are proposed, that are capable of storing and managing a cohesive enterprise view of metadata, maintaining integrity based on XBRL semantics, and integrating XBRL metadata to support continuous data mining process.
机译:XBRL采用国际公认的网络财务报告标准来创建分类法,允许在所有软件和技术上进行可兑换和提取数据。 它使涉及XBRL元数据的企业元数据存储库成为重要的研究问题之一。 描述了XBRL文档和连续数据挖掘元数据管理的要求。 然后提出了元数据存储库和数据挖掘的元模型和架构,其能够存储和管理元数据的凝聚力,维护基于XBRL语义的完整性,以及集成XBRL元数据来支持连续数据挖掘过程。

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