EAGER: Collaborative Research: Visualizing Event Dynamics with Narrative Animation

EAGER：协作研究：用叙事动画可视化事件动态

• 批准号: 1352893
• 负责人: Jing Yang
• 金额: $ 7.53万
• 依托单位: University of North Carolina at Charlotte
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1352893&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; Visualizing; Event

Discovering and understanding the temporal evolution of events hidden in text corpora is a complex yet critical task for knowledge discovery. Although mining event dynamics has been an important research topic leading to many successful algorithms, researchers, research and development managers, intelligence analysts and the general public are still in dire need of effective tools to explore the evolutionary trends and patterns. This exploratory project focuses on developing and validating a novel idea called narrative animation. Narrative animation uses animated visualizations to narrate, explore, and share event dynamics conveyed in temporally evolving text collections. Film art techniques are employed to leverage the animated visualizations in information organization and change detection, with the goals of enhancing analytical power and user engagement. A prototype system called CityStories is being developed to generate narrative animations of events in cities derived from web-based text. If this novel, risky research is successful, it is expected to yield fundamental results in narrative animation that can advance the current paradigm in information visualization and visual analytics by developing novel techniques in using animations for presenting and analyzing dynamic abstract data at a large scale. The pilot system CityStories system is expected provide a novel network platform for education, entertainment, and data analytics. It will engage general users such as students, teachers, journalists, bloggers, and many others in web information visualization and study. Results of this research will be disseminated through publications, the World Wide Web, and collaborations with researchers and analysts. The project web site (http://coitweb.uncc.edu/~jyang13/narrativeanimation/narrativeanimation.htm) will include research outcomes, publications, developed software, videos, and datasets for wide dissemination to public.

发现和理解隐藏在文本语料库中的事件的时间演变是知识发现的复杂但至关重要的任务。尽管采矿事件动态一直是一个重要的研究主题，导致许多成功的算法，但研究人员，研发经理，情报分析师和公众仍然迫切需要有效的工具来探索进化趋势和模式。 这个探索性项目的重点是开发和验证一种称为叙事动画的新颖思想。叙事动画使用动画可视化来叙述，探索和共享在时间不断发展的文本集中传达的事件动态。电影艺术技术用于利用信息组织中的动画可视化和变化检测，并具有增强分析能力和用户参与度的目标。正在开发一种名为City Stortories的原型系统，以生成来自基于Web的文本的城市中事件的叙事动画。如果这项新颖的风险研究成功，则可以通过开发使用动画来呈现和分析大规模的动态摘要数据时开发新型技术，从而在叙事动画中产生基本的结果，从而在信息可视化和视觉分析中提高当前范式。 预计，Pilot System City System可以为教育，娱乐和数据分析提供新颖的网络平台。它将吸引普通用户，例如学生，老师，记者，博客作者以及许多其他人的网络信息可视化和学习。 这项研究的结果将通过出版物，万维网以及与研究人员和分析师的合作进行传播。 项目网站（http://coitweb.uncc.edu/~jyang13/narrativeanimation/narrativeanimation.htm）将包括研究成果，出版物，已开发的软件，视频和数据集，以向公众进行广泛传播。