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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 article proposes that the social science information retrieval should shift from analogue data to massive data on the internet, from data unity to data diversity, from artificial search data to intelligent search data. From the perspective of literature processing, it provides decision-making for the government Intelligence, to provide competitive intelligence for enterprises, to provide research frontier intelligence transformation for social science research; to change the value of intelligence from extracting the literature review to extracting the total data of relevant data; and to collect the tools to change from manual collection to machine custom collection. In order to realize the above changes, this paper proposes to use the tools such as cloud computing and artificial intelligence (AI) technology to build an intelligence monitoring and picking platform for social sciences in order to meet the challenges posed by the needs of social science information in the era of big data.