计算机科学与探索2025，Vol.19Issue(6)：1611-1619,9.DOI:10.3778/j.issn.1673-9418.2407091
元素融合视域下数据故事的事实、事件识别方法及模型构建
Fact,Event Recognition Methods and Model Construction in Data Storytelling from Element Fusion Perspective
摘要
Abstract
How to associate data with stories and present data in the form of stories is the fundamental question in data story-telling research.Unlike previous approaches that employ a"hard connection"artificially separating data and stories,this paper adopts an integrated"soft connection"perspective,and proposes intermediate fusion elements(data facts and data events)to link data and stories.Based on these elements,a data storytelling model supporting quantification and automated operations is constructed.Firstly,leveraging Chatman's narrative theory and utilizing linguistic features and natural lan-guage processing(NLP)tools,this paper concretizes and quantifies these fusion elements and designs an automatic recog-nition method.Subsequently,this recognition method is applied to extracting data facts and data events from interactive graphic works on Xinhuanet,posts on the Qingsongchou platform,and articles in Caixin's"Data News"section.Analysis reveals a correlation between the positional distribution of these elements and the narrative structure,as well as identifying three narrative structures they constitute:vertical structure,horizontal structure,and interactive structure.Finally,a data storytelling model is constructed based on these data facts and data events.The results indicate that the proposed fusion element recognition method achieves Accuracy,Precision,and F1-score values over 0.8 on the three aforementioned datasets.Furthermore,the model constructed based on these fusion elements is present within data storytelling works and can be utilized to describe the generation process from data to story.关键词
Chatman叙事理论/数据故事模型/叙事结构/数据事实/数据事件Key words
Chatman narrative theory/data storytelling model/narrative structure/data facts/data events分类
信息技术与安全科学引用本文复制引用
孙智中..元素融合视域下数据故事的事实、事件识别方法及模型构建[J].计算机科学与探索,2025,19(6):1611-1619,9.基金项目
国家自然科学基金(72074214) （72074214）
河南省软科学研究计划项目(252400411122). This work was supported by the National Natural Science Foundation of China(72074214),and the Soft Science Research Project of Henan Province(252400411122). （252400411122）
