XBRL元数据存储库和持续数据挖掘

Ding Pan, Yunshan Pan
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引用次数: 3

摘要

XBRL使用国际公认的网络财务报告标准来创建一个分类法,允许在所有软件和技术之间交换和提取数据。这使得涉及XBRL元数据的企业元数据存储成为重要的研究课题之一。描述了XBRL文档元数据管理和连续数据挖掘的需求。在此基础上,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内聚的企业元数据视图,维护基于XBRL语义的完整性,并集成XBRL元数据以支持连续数据挖掘过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
XBRL Metadata Repository and Continuous Data Mining
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.
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