数据故事的自动生成与工程化研发

Automatic Generation and Engineering Research&Development of Data Stories

[目的/意义]明确定义数据故事化的内涵与特征,正确理解数据故事与文学故事的区别,实现数据故事化的自动生成和工程化研发是推动数据故事化这一新研究领域的关键所在。[方法/过程]首先,在调查分析数据故事化领域的研究现状的基础上,提出了数据故事化的内涵与特征;其次,采用数据科学与数据工程方法提出数据故事的自动生成流程;最后,运用软件工程方法设计出数据故事的工程化研发的参考架构。[结果/结论]数据故事的自动生成流程的提出对于数据故事化领域的理论研究具有重要借鉴意义,而数据故事的工程化开发参考架构的设计为研发数据故事产品组件及培育产业生态系统具有较大的参考价值。

[Purpose/significance]It is crucial for the emerging research field of data storytelling to define the concept of data storytelling, to indetify the differences between data story and literary story as well as to implement data story products automatically by software engineering methods.[Mothod/process]First, the concept and the features of data storytelling are introduced respectively, based upon conducting acomprehensive literature review on the related studies. Second, the automatic generation process of data stories is proposed by data science principles. Third, a reference framework for data story softeware enginneing is provided in line with Software Engineering methods.[Result/conclusion]The automatic generation process of data stories is of great significance for theoretical research on data storytelling, and its software engineering reference framework provides an integrated solution for developing data story product as well as nurturing its ecosystem.