| 大数据语境下情报学的坚守与拓展 |
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| 引用本文： | 韩毅,李红.大数据语境下情报学的坚守与拓展[J].图书情报工作,2015,59(5):47. |
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| 作者姓名： | 韩毅 李红 |
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| 作者单位： | 西南大学计算机与信息科学学院 重庆 400715 |
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| 基金项目： | 本文系重庆市研究生教育教学改革研究项目"面向密集数据范式的情报学研究生教学模式改革及质量控制研究"(项目编号:yjg123090)研究成果之一. |
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| 摘 要： | 目的/意义]研究情报学如何响应大数据语境提出的功能要求,在研究内容、方法及范式上做出相应的调整与聚焦.方法/过程]应用历史分析方法,梳理总结情报学应对纸介质信息爆炸时在文献选择、内容揭示、服务提供及技术应用等方面积累的经验;应用规范化方法分析大数据时代对情报学在服务对象、信息获取、信息序化和决策支持上的挑战,基于情报学的三维范畴描述讨论情报学在信息发现、信息序化、信息服务、信息技术与信息政策法规等方面的新研究取向.结果/结论]大数据时代,情报学既应坚守历史演化所积累的学科特色,也应积极响应时代挑战,拓展新的研究领域.
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| 关 键 词： | 大数据语境 情报学 研究取向 |
| 收稿时间： | 2015-01-21 |
Persistence and Expansion of Information Science Under the Context of Big Data |
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| Han Yi,Li Hong.Persistence and Expansion of Information Science Under the Context of Big Data[J].Library and Information Service,2015,59(5):47. |
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| Authors: | Han Yi Li Hong |
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| Institution: | College of Computer and Information Science, Southwest University, Chongqing 400715 |
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| Abstract: | Purpose/significance] The functional needs for the big data context must be answered in Information Science, and the research contents, methods and paradigm should be adjusted and focused.Method/process] The countermeasures to overcome information exposures in paper-media era are discussed, including documentation selection, information organization, information services and information technologies. The challenges to Information Science, under the context of big data, are analyzed, which include service objects, information discoveries, information organization and decision supporting. 3-dimension structure for Information Science are given, and some new research orientations are presented, which are about information discoveries, information organization, information services, information technologies and information rules and laws. Result/conclusion] Under the era of big data, on the one hand, Information Science should persist the accumulating discipline characteristics from the history evolution; on the other hand it should respond to the challenges of the times to expand brand-new research fields. |
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| Keywords: | big data context Information Science research orientation |
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