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浅析领域知识对大数据发展的影响
Analysis of Influence of Domain Knowledge on Development of Big Data
【摘要】 大数据正在成为当今社会的热门话题,除了IT领域对它的不断探索外,大数据也在持续影响着经济、社会的进程。各行各业对大数据的炒作愈演愈烈,应该认真思考大数据研究与应用过程中面临的诸多问题。知识领域对于一项新技术来说尤为重要,若不清楚各行各业的知识领域,则新技术在不同领域中的发展及应用将会面临很多阻碍[1]。分析了大数据研究与应用的几个环节,指出了大数据处理涉及到的数据采集、数据管理、数据分析、数据建模和数据应用等过程,其中领域知识是沟通大数据处理的核心环节。由于大数据应用的关键是数据分析,数据分析的基础是领域知识,因此大数据处理必须通过领域知识才能前后贯通。
【Abstract】 Big data is becoming a hot topic in today’s society.Except of the IT field for its continuous exploration,it also continues to affect the economic and social progress.In the face of all walks of life to the big data hype,we should think seriously about the problems faced in the process of big data research and application.Domain knowledge is very important for a new technology,if we don’t know the field of domain knowledge in all walks of life,the development and application of them in different fields will face a lot of obstacles.This paper analyzed several aspects of the research and application of big data,and pointed out that big data processing involves data collection,data management,data analysis,data modeling and data application.Domain knowledge is the core of communication of data processing.As the key to the application of big data is data analysis,and data analysis is based on domain knowledge,the processing of big data must be through the field of domain knowledge to breakthrough.
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2017年S1期
- 【分类号】TP311.13
- 【被引频次】1
- 【下载频次】118