| 面向企业创新服务的大数据智能分析机制探讨 |
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| 引用本文： | 李颖,朱礼军,农国武.面向企业创新服务的大数据智能分析机制探讨[J].数字图书馆论坛,2012(11):23-31. |
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| 作者姓名： | 李颖 朱礼军 农国武 |
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| 作者单位： | 中国科学技术信息研究所 北京 100038 |
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| 基金项目： | 基金项目：十二五科技支撑计划项目技术创新服务平台关键技术研究与应用示范（编号：2011BAH30B00）. |
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| 摘 要： | 大数据智能分析是企业技术创新的新希望，也是科技信息机构在服务转型的压力下所面临的新机遇。应用大数据智能分析，企业可以从海量多样的数据中，深入挖掘并呈现满足创新需求的各种关联信息，获得洞悉，并做出更为准确的创新决策。文章面向企业技术创新服务，讨论大数据智能分析系统的机制，并以大数据类型——结构化和非结构化数据为中心，介绍它们不同的处理技术。由于计算机处理结构化数据的简易性和精准性，文章将数据的结构化处理技术作为主要的议题进行讨论，介绍实用的标准技术DITA。最后，以作者研发项目为例，介绍与大数据分析有关的工作及展望。
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| 关 键 词： | 大数据，智能分析机制，技术创新，数据结构化，DITA |
Mechanism Study of Big Data Smart-analytics System Oriented Enterprise Innovation Service |
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| Institution: | Li Ying, Zhu Lijun, Nong Guowei ( Information Technology Support Center, Institute of Scientific and Technical Information of China, Beijing, 100038) |
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| Abstract: | Big Data Smart-analytics is a new hope of enterprise technological innovations, it is also a new opporttmity for science ＆ technology institutions under the pressure of service Wansformation. Adopting Big Data Smart-analytics, enterprises can deep mine and present kinds of related information from a massive and variety of data to meet innovation needs, represent insight, and make more accurate innovation decisions. This article is for enterprises technical innovative services. It discusses the mechanism of Big Data srnart-analytics system, focuses on the types of Big Data - structured and unstructured data, and introduces different processing techniques. Since computer processing of structured data is easier and more accurate, this article takes structured data processing technology as the main topic for discussion, and introduces the practical DITA standard tectinology. Finally, taking our R ＆ D projects as an example, it describes the data analysis work and vision. |
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| Keywords: | Big data Mechanism of smart-analytics Technological innovations Structured data DITA |
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