科技前沿识别体系中的机器学习应用问题研究

Research on application of machine learning in recognition system of science and technology frontier

摘要:

【目的/意义】随着人工智能技术的飞速发展,机器学习在科技前沿识别问题中的重要作用与日俱增。来自网络的开源信息逐渐成为科技前沿识别问题的主要数据来源,合理运用机器学习方法可以实现数据细粒度的知识挖掘,是解决科技前沿识别问题的重要手段。【方法/过程】本文运用文献计量和历史追溯的方法对国内外研究现状进行总结,在此基础上探究了机器学习方法在数据感知与处理层及情报计算与感知层上的应用问题,分析了与情报产品刻画层之间的关联关系,并对三层涉及到的相关任务进行解析、拓展和实际论证。【结果/结论】构建开源情报环境下的科技前沿识别体系延伸框架,提出不同层次需求发展的意见和建议。

关键词:开源情报;科技前沿;前沿识别;机器学习

Abstract:

【Purpose/significance】With the rapid development of artificial intelligence technology, machine learning plays an increasingly important role in the identification of science and technology frontier. The open source information from the network has gradually become the main data source of the identification problem of science and technology frontier. The rational use of machine learning methods can realize the fine-grained knowledge mining of data, which is an important means to solve the identification problem of science and technology frontier. 【Method/process】this article applies the method of bibliometrics, and back to summarize the research status at home and abroad, on this basis, explores the perception and machine learning methods in the data processing layer and the application of intelligence computing and perception layer, analyzed and intelligence product layer of the relationship between characterization, and the three layers of related tasks involved in parsing and expanding and actual argument. 【Result/conclusion】The extension framework of science and technology frontier identification system under open source information environment is constructed, and the opinions and suggestions of different levels of demand development are put forward.

Key words:Open source information; Science and technology frontier; Frontier identification; Machine learning