| 科技信息大数据在情报研究服务中的应用 |
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| 引用本文： | 化柏林.科技信息大数据在情报研究服务中的应用[J].图书情报工作,2017,61(16):150-156. |
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| 作者姓名： | 化柏林 |
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| 作者单位： | 北京大学信息管理系 北京 100871 |
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| 基金项目： | 本文系国家社会科学基金重点项目"大数据环境下的计算型情报分析方法与技术研究"（项目编号：14ATQ005）和国家社会科学基金面上项目"基于多源数据融合的情报用户需求探测研究"（项目编号：17BTQ066）研究成果之一。 |
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| 摘 要： | 目的/意义]针对当前科技信息界对大数据的认识问题以及如何利用大数据提供更好的情报服务,构建科技信息大数据在情报服务中的应用框架,以便为科技信息大数据环境下的科技情报服务提供参考。方法/过程]围绕数据基础、方法技术与应用服务3个核心要素展开,探讨科技信息大数据的概念内涵、科技信息大数据在科技情报服务中的应用以及大数据情报技术。结果/结论]在概念内涵方面,科技信息大数据是科技活动要素及要素之间相关关系组成的多源异构大规模数据;在大数据情报技术方面,梳理出多源异构融合技术、用户画像与需求探测技术、属性计算与情景计算技术、知识抽取与本体构建技术等关键技术;在情报服务方面,将由被动服务转向主动服务,从单一服务转向嵌入式服务,从决策参考服务扩展到决策引领服务。
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| 关 键 词： | 科技信息 大数据 情报服务 |
| 收稿时间： | 2017-07-07 |
Application of Big Data About Science and Technology Information in Intelligence Studies |
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| Hua Bolin.Application of Big Data About Science and Technology Information in Intelligence Studies[J].Library and Information Service,2017,61(16):150-156. |
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| Authors: | Hua Bolin |
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| Institution: | Department of Information Management, Peking University, Beijing 100871 |
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| Abstract: | Purpose/significance] Based on the current various understandings of big data in S&T information field and how to use big data to provide better information service, application framework of big data about S&T information in information services is necessary, and it is beneficial to provide support for scientific and technical information service department under the big data environment.Method/process] From the three core elements of data base, technology and application services, this paper explores the concept of big data on science and technology information, application in information services, and the big data intelligence technology.Result/conclusion] First, big data in information technology is heterogeneous massive data about the elements of science and technology activities and their correlations; Second, technology of the big data in S&T information includes the multi-source fusion technology, detection technology of the demand and user portrait, attributes calculation and the scene technology, and knowledge extraction and ontology construction key technology calculation; Thirdly, intelligence services will shift from passive service to active service, from a single service to embedded services, and from the reference services extended to the decision to lead the service. |
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| Keywords: | information of science and technology big data intelligence services |
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