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Modeling and Querying Business Data with Artifact Lifecycle

机译：使用工件生命周期建模和查询业务数据

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摘要

Business data has been one of the current and future research frontiers, with such big data characteristics as high-volume, high-velocity, high-privacy, and so forth. Most corporations view their business data as a valuable asset and make efforts on the development and optimal utilization on these data. Unfortunately, data management technology at present has been lagging behind the requirements of business big data era. Based on previous business process knowledge, a lifecycle of business data is modeled to achieve consistent description between the data and processes. On this basis, a business data partition method based on user interest is proposed which aims to get minimum number of interferential tuples. Then, to balance data privacy and data transmission cost, our strategy is to explore techniques to execute SQL queries over encrypted business data, split the computations of queries across the server and the client, and optimize the queries with syntax tree. Finally, an instance is provided to verify the usefulness and availability of the proposed method.
机译：业务数据已经成为当前和未来的研究前沿之一，具有大数据量，高速度，高私密性等特点。大多数公司将其业务数据视为宝贵的资产，并致力于开发和最佳利用这些数据。不幸的是，目前的数据管理技术已经落后于业务大数据时代的要求。基于先前的业务流程知识，对业务数据的生命周期进行建模，以实现数据与流程之间的一致描述。在此基础上，提出了一种基于用户兴趣的业务数据划分方法，旨在使干扰元组的数量最小。然后，为了平衡数据隐私和数据传输成本，我们的策略是探索对加密的业务数据执行SQL查询，在服务器和客户端之间划分查询计算以及使用语法树优化查询的技术。最后，提供了一个实例来验证所提出方法的有效性和可用性。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第11期|506272.1-506272.9|共9页
  • 作者

    Zhao Danfeng; Zhao Wei; Sun Le; Huang Dongmei;

  • 作者单位

    Shanghai Ocean Univ, Coll Informat, Shanghai 201306, Peoples R China.;

    Heilongjiang Elect Power Co Ltd, Informat & Telecommun Branch, State Grid Corp China, Harbin 150090, Heilongjiang, Peoples R China.;

    Shanghai Ocean Univ, Coll Informat, Shanghai 201306, Peoples R China.;

    Shanghai Ocean Univ, Coll Informat, Shanghai 201306, Peoples R China.;

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