大数据环境对信息组织的影响

Impacts of the Big Data Environment on Information Organization

为了深度剖析大数据环境给信息组织带来的影响,首先指出信息组织应该在大数据资源的分类、记录与描述、浓缩与约减,定位、选择、评估与管理,交换与共享等方面发挥作用。进而剖析了在发挥这些作用的过程中将面临的困难和挑战,包括:信息组织的作用极易被忽视,信息组织的学科边界逐渐模糊,信息组织的自动化和智能化水平不足,信息描述标准的建立存在困难,现有信息组织的工具与方法体系难以适应大数据组织的任务。基于以上认识,对信息组织发展趋势和任务的判断是:打造精品工程、凸显信息组织在大数据环境中的地位和作用,依托大数据技术、提高信息组织的自动化水平和效率,借助存量语义资源、对大数据进行语义化组织,面向大数据源头、建立新型的数据表示方式与体系,在数据开放环境下、致力于数据的互联和整合。

This paper firstly indicate that, under the big data environment, information organization should play roles in the below aspects： classifying, recording, describing, concentrating big data, navigating, selecting, evaluating and managing big data, as well as exchanging and sharing big data. Information organization will face many problems and challenges in the process of dealing with big data. The problems and challenges include： the role of information organization can easily be ig- nored, the disciplinary boundaries of information organization is gradually blurring, both automation and intelligence level of information organization are insufficient, existing tools and methodologies are not enabled information organization to handle the tasks of processing big data. Based on the above understandings, in the future, trends and tasks of information organiza- tion can be summarized as the following five aspects.. （1）Building quality projects of information organization to highlight the importance of it in the big data environment. （2）Improving the automation and efficiency level of information organization with big data techniques. （3）Organizing big data semantically with the help of the stock of semantic resources. （4）Establishing new-type data representation mode. （5） Promoting the interconnection and integration of data under the background of the open-data movement.