实践研究

数描客体在数据分析中的应用研究

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  • (武汉大学信息管理学院 湖北 430072)(安徽大学管理学院 安徽 230601)
张坤,男,1992年生,武汉大学信息管理学院博士研究生(通讯作者)。 谢笑,女,1987年生,安徽大学管理学院副教授。

网络出版日期: 2020-07-16

基金资助

本文系国家社会科学基金青年项目“数描客体与WSR融合视阈下情报分析模型的构建与应用研究”(项目编号:18CTQ022)的研究成果之一。

Research on Application of Digital Tracing Object in Data Analysis

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  • (School of Information Management, Wuhan University, Hubei,430072)(School of Management, Anhui University, Hefei ,230601)

Online published: 2020-07-16

摘要

[目的/意义]数据分析在情报工作中至关重要,数描客体作为一种融合多种优势于一体的信息技术,为数据分析应用场景的开拓提供了新方法。对数描客体在数据分析中的应用进行研究将会为情报工作和社会智慧发展注入新活力,意义深远。[方法/过程]文章对数描客体的内涵、核心技术、基本特征和应用价值进行了系统介绍,对数描客体在智慧课堂、精准医疗、“千人千面”、智慧交通、数字警务、数描城市六大数据分析场景的具体应用情况进行了剖析,并对5G、区块链、虚拟现实及体感交互技术与数描客体的结合使用在数据分析领域的发展前景进行了展望。[结果/结论]5G、区块链等新一代信息技术的发展及其与数描客体的融合,为数描客体在数据分析中的应用带来了广泛的应用场景和广阔的应用前景,也将数描客体落地的基础打造得更加坚实。未来,随着信息技术的进一步演进,数描客体有望迎来蓬勃发展。

本文引用格式

张坤, 谢笑 . 数描客体在数据分析中的应用研究[J]. 情报资料工作, 2020 , 41(4) : 93 -103 . DOI: 10.12154/j.qbzlgz.2020.04.012

Abstract

[Purpose/significance] Data analysis is very important in information work. As a kind of information technology which integrates many advantages, objects profile provides a new method for the development of data analysis application scene.The research on the application of objects profile in data analysis will inject new vitality into the development of information work and social wisdom, which is of far-reaching significance. [Method/process] The connotation, core technology, basic characteristics and application value of objects profile are systematically introduced. The paper analyzes the specific application of objects profile in six major data analysis scenes, they are intelligent classroom, precision medicine, "thousands of people and thousands of faces", intelligent transportation, digital police and digital painting city. And the development prospect of the combination of 5G, blockchain, virtual reality and somatosensory interaction technology with objects profile is prospected. [Result/conclusion] The development of a new generation of information technology such as 5G, blockchain and its integration with objects profile have brought a wide range of application scenes and broad application prospects for the application of objects profile in data analysis. It will also build a more solid foundation of seeing objects through big data, and in the future, with the further evolution of information technology, objects profile is expected to usher in a vigorous development.
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