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Cloud Computing-based Enterprise XBRL Cross-Platform Collaborated Management

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Collaborate Computing: Networking, Applications and Worksharing (CollaborateCom 2016)

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Abstract

EXtensible Business Reporting Language (XBRL) is expected to develop into the global data standard for business financial reporting with the potential to change the way that accounting data collaborate processing. The improvement of interactivity of the Internet financial report relies on its data presentation standard. This paper attempts to take advantage of cloud computing technology to conduct comprehensive integration of the enterprise information systems according to XBRL classification criterion, and generate XBRL standard instance documents that will be stored in the cloud computing-based enterprise information data cloud. By employing XBRL processing technology, it is able to realize cross-platform XBRL system processing and offer references for the listed companies to realize XBRL cross-platform collaborated data management.

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Authors and Affiliations

  1. BeiJing JiaoTong University, Beijing, China

    Liwen Zhang

  2. Henan University of Economics and Law, Zhengzhou, China

    Liwen Zhang

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  1. Liwen Zhang
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Correspondence to Liwen Zhang .

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Editors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Ao Zhou

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, L. (2017). Cloud Computing-based Enterprise XBRL Cross-Platform Collaborated Management. In: Wang, S., Zhou, A. (eds) Collaborate Computing: Networking, Applications and Worksharing. CollaborateCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-319-59288-6_52

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  • DOI: https://doi.org/10.1007/978-3-319-59288-6_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59287-9

  • Online ISBN: 978-3-319-59288-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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