摘要
文章提出社会科学情报撷取要从模拟数据向互联网海量数据转变、要从数据单一性向数据多样性转变、要从人工搜索数据向智能搜索数据转变;研究视角要从文献资料加工向为政府提供决策情报、为企业提供竞争情报、为社会科学研究提供科研前沿情报转变;情报价值要从提取文献综述向提取相关数据总本转变;搜集工具要从人工收集向机器定制收集转变。要实现上述变革,文章提出利用云计算和人工智能(AI)技术等工具,构建社会科学情报智能监测采撷平台,以此应对大数据时代对社会科学情报需求带来的挑战。
The paper proposes that the capture of social science information should be changed from the simulated data to the Internet mass data, from data unity to data diversity and from manual search data to intelligent search data. It also proposes that the research perspective should be changed from literature data - processing to providing information for government decision - making, competitive intelligence for businesses and research frontier intelligence for the social science research. At the same time, intelligence value should be changed from extracting literature review to extracting relevant data in the aggregate principal and production tools should be changed from manual collection to custom machine collection. To achieve the above changes, the paper proposes the use of cloud computing and artificial intelligence tech- nology and other tools to construct the Social Science Information Intelligent Monitoring Pick Platform to deal with the challenges from the needs of social science information in big data era.
出处
《情报资料工作》
CSSCI
北大核心
2013年第6期35-40,共6页
Information and Documentation Services
关键词
泛公共云
大数据
情报方法
工具创新
pan public cloud, big data, intelligence method, tools innovation
