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标准大数据实践(1) —— 异构数据集成

甘克勤 张宝林 计雄飞 田方

标准科学Issue(1):12-15,4.
标准科学Issue(1):12-15,4.DOI:10.3969/j.issn.1674-5698.2016.01.002

标准大数据实践(1) —— 异构数据集成

Standard Big Data Practice ——Heterogeneous Data Integration(Part A)

甘克勤 1张宝林 2计雄飞 1田方1

作者信息

  • 1. 中国标准化研究院
  • 2. 国家标准化管理委员会信息中心
  • 折叠

摘要

Abstract

In the era of big data, heterogeneous data integration is an important part of the data island connection, and a continuous hot research direction in recent years. As a collection agency, the National Standard Library faces multi-source heterogeneous data problems itself, mainly about the integration to the literature from different countries with different data structure. In tradition, the mapping rules are compiled manually to transfer heterogeneous data to isomorphism one, however this kind of method can't meet the demand of big data integration. This paper mainly explains the concept of heterogeneous data integration and the key technology, system architecture and practical results of national standard library's application about NoSQL.

关键词

异构数据/标准/集成/NoSQL

Key words

sheterogeneous data/standard/integration/NoSQL

引用本文复制引用

甘克勤,张宝林,计雄飞,田方..标准大数据实践(1) —— 异构数据集成[J].标准科学,2016,(1):12-15,4.

基金项目

本文受中央基本科研业务费支撑项目"基于文本相似度计算的标准查新工具研究"(项目编号:252015Y-4003)资助. (项目编号:252015Y-4003)

标准科学

1674-5698

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