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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使用国际认可的网络财务报告标准来创建分类法,该分类法允许所有软件和技术之间的数据交换和提取。它使得涉及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文档的元数据管理和连续数据挖掘的要求。然后,提出了一种元数据存储库和数据挖掘的元模型和体系结构,该模型和体系结构能够存储和管理元数据的内聚性企业视图,基于XBRL语义维护完整性,并集成XBRL元数据以支持连续数据挖掘过程。

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