Knowledge Graph Assisted Basketball Sport News Visualization

Q3 Computer Science
Naye Ji, Yong Gao, Youbing Zhao, Dingguo Yu, Shaowei Chu
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引用次数: 2

Abstract

Visual analysis of sports event news involves sports event analysis and news visualization, which plays an important role in quick generating of event news reports, enhancing the expression of event news, and assisting event analysis. A knowledge graph based visual analytics method is proposed for basketball data news generation. The interactive visualization tools are designed for basic matches and team data of basketball games, such as basketball player data, team data and spatio-temporal data, supplemented by knowledge graph, which enriches background knowledge. Besides the overview and statistical view of basic data, it also includes the visual design of knowledge map of the background data for the game and the visual view for the spatio-temporal data of the game, so that basketball fans and ordinary readers could benefit from a multi-dimensional perspective to enjoy the various aspects of the basketball game. Therefore, the visualization system can increase the richness of sports event news, and serve basketball fans and ordinary readers better. Through the evaluation by basketball fans, general readers, and professional sports journalists, most of the average scores of each visual module are above 4 points basically under a 5-point quantitative 838 计算机辅助设计与图形学学报 第 33 卷 scoring system. It is proved that the knowledge graph used in basketball event visualization has both vividness and knowledge, which enhances the expressiveness of basketball event news.
知识图谱辅助篮球运动新闻可视化
体育赛事新闻的可视化分析涉及体育赛事分析和新闻可视化,在快速生成赛事新闻报道、增强赛事新闻表达、辅助赛事分析等方面发挥着重要作用。提出了一种基于知识图的篮球数据新闻可视化分析方法。交互式可视化工具是针对篮球比赛的基础比赛和团队数据设计的,如篮球运动员数据、团队数据和时空数据,辅以知识图,丰富了背景知识。除了基础数据的概述和统计视图外,还包括比赛背景数据知识图谱的可视化设计和比赛时空数据的可视化视图,让篮球迷和普通读者能够从多维度的视角欣赏篮球比赛的各个方面。因此,可视化系统可以增加体育赛事新闻的丰富性,更好地为篮球迷和普通读者服务。通过篮球迷、普通读者和专业体育记者的评估,每个视觉模块的平均得分大多在4分以上,基本上在5分以下计算机辅助设计与图形学学报 第 33卷 评分系统。实践证明,篮球赛事可视化中所使用的知识图具有形象性和知识性,增强了篮球赛事新闻的表现力。
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来源期刊
计算机辅助设计与图形学学报
计算机辅助设计与图形学学报 Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
1.20
自引率
0.00%
发文量
6833
期刊介绍:
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