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化是知识发现的一个复杂而关键的任务。虽然挖掘事件动力学已经成为一个重要的研究课题，导致了许多成功的算法，研究人员，研发经理，情报分析人员和公众仍然迫切需要有效的工具来探索进化的趋势和模式。 这个探索性的项目专注于开发和验证一个叫做叙事动画的新想法。叙事动画使用动画可视化来叙述，探索和分享在时间上不断变化的文本集合中传达的事件动态。电影艺术技术被用来在信息组织和变化检测中利用动画可视化，目的是提高分析能力和用户参与度。一个名为CityStories的原型系统正在开发中，用于从基于网络的文本中生成城市事件的叙事动画。如果这种新颖的，有风险的研究是成功的，它预计将产生叙事动画，可以通过开发新的技术，在使用动画呈现和分析动态抽象数据在大规模推进当前的信息可视化和可视化分析范式的基本成果。 CityStories系统有望为教育、娱乐和数据分析提供一个新的网络平台。它将吸引一般用户，如学生，教师，记者，博客和许多其他人在网络信息可视化和研究。 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人员的合作传播。 该项目网站（http：//coitweb.uncc.edu/narrativeanimation/narrativeanimation.htm）将包括研究成果、出版物、开发的软件、录像和数据集，供向公众广泛传播。