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
基本信息
- 批准号:1352893
- 负责人:
- 金额:$ 7.53万
- 依托单位:
- 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:
- 关键词:
项目摘要
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。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jing Yang其他文献
Upregulation of flotillin-1 promotes invasion and metastasis by activating TGF-β signaling in nasopharyngeal carcinoma
ïotillin-1 的上调通过激活 TGF-β 信号传导促进鼻咽癌的侵袭和转移
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Sumei Cao;Yanmei Cui;Huiming Xiao;Miaoqing Mai;Chanjuan Wang;Shanghang Xie;Jing Yang;Shu Wu;Jun Li;Libing Song;Xiang Guo;Chuyong Lin - 通讯作者:
Chuyong Lin
Separation of gallium and aluminum from HCl solution by microemusion
微乳液法从HCl溶液中分离镓和铝
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:2.8
- 作者:
Jing Yang;Xidan Zhao;Yanzhao Yang - 通讯作者:
Yanzhao Yang
Hydrogen Bonding Character Between the Glycine and BF4
甘氨酸与BF4之间的氢键特征
- DOI:
10.1088/1674-0068/22/05/517-522 - 发表时间:
2009 - 期刊:
- 影响因子:1
- 作者:
Qin He;Jing Yang;Xiangying Meng - 通讯作者:
Xiangying Meng
Prediction of the crystal size distribution for reactive crystallization of barium carbonate under growth and nucleation mechanisms
生长和成核机制下碳酸钡反应结晶的晶体尺寸分布的预测
- DOI:
10.1021/acs.cgd.8b01067 - 发表时间:
2019 - 期刊:
- 影响因子:3.8
- 作者:
Wei Zhang;Fengzhen Zhang;Liping Ma;Jie Yang;Jing Yang;Huaping Xiang - 通讯作者:
Huaping Xiang
A Chinese Han pedigree with Huntington disease mimicking spinocerebellar ataxia
一个患有类似脊髓小脑共济失调的亨廷顿病的中国汉族家系
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:4.4
- 作者:
Chengyuan Mao;Yun Su;Huiyun Wang;Liyuan Fan;Huimin Zheng;Tai Wang;Xinwei Li;Shuo Zhang;Zhengwei Hu;Haiyang Luo;Jing Yang;Changhe Shi;Yuming Xu - 通讯作者:
Yuming Xu
Jing Yang的其他文献
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{{ truncateString('Jing Yang', 18)}}的其他基金
Collaborative Research: Optimized Testing Strategies for Fighting Pandemics: Fundamental Limits and Efficient Algorithms
合作研究:抗击流行病的优化测试策略:基本限制和高效算法
- 批准号:
2133170 - 财政年份:2022
- 资助金额:
$ 7.53万 - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Small: Timely Computing and Learning over Communication Networks
合作研究:CNS 核心:小型:通过通信网络进行及时计算和学习
- 批准号:
2114542 - 财政年份:2021
- 资助金额:
$ 7.53万 - 项目类别:
Standard Grant
Collaborative Research: MLWiNS: Dino-RL: A Domain Knowledge Enriched Reinforcement Learning Framework for Wireless Network Optimization
合作研究:MLWiNS:Dino-RL:用于无线网络优化的领域知识丰富的强化学习框架
- 批准号:
2003131 - 财政年份:2020
- 资助金额:
$ 7.53万 - 项目类别:
Standard Grant
Collaborative Research: SWIFT: SMALL: Learning-Efficient Spectrum Access for No-Sensing Devices in Shared Spectrum
合作研究:SWIFT:SMALL:共享频谱中无感知设备的学习高效频谱访问
- 批准号:
2030026 - 财政年份:2020
- 资助金额:
$ 7.53万 - 项目类别:
Standard Grant
CNS Core: Medium: When Next Generation Wireless Networks Meet Machine Learning
CNS 核心:中:当下一代无线网络遇到机器学习时
- 批准号:
1956276 - 财政年份:2020
- 资助金额:
$ 7.53万 - 项目类别:
Standard Grant
Development of a 3D human in vitro model of pancreatic beta cell health
开发胰腺 β 细胞健康的 3D 人体体外模型
- 批准号:
EP/N510099/1 - 财政年份:2017
- 资助金额:
$ 7.53万 - 项目类别:
Research Grant
CAREER: When Energy Harvesting Meets "Big Data": Designing Smart Energy Harvesting Wireless Sensor Networks
职业:当能量收集遇到“大数据”:设计智能能量收集无线传感器网络
- 批准号:
1650299 - 财政年份:2016
- 资助金额:
$ 7.53万 - 项目类别:
Standard Grant
SI2-SSE: Collaborative Research: TrajAnalytics: A Cloud-Based Visual Analytics Software System to Advance Transportation Studies Using Emerging Urban Trajectory Data
SI2-SSE:合作研究:TrajAnalytics:基于云的视觉分析软件系统,利用新兴城市轨迹数据推进交通研究
- 批准号:
1535081 - 财政年份:2015
- 资助金额:
$ 7.53万 - 项目类别:
Standard Grant
CAREER: When Energy Harvesting Meets "Big Data": Designing Smart Energy Harvesting Wireless Sensor Networks
职业:当能量收集遇到“大数据”:设计智能能量收集无线传感器网络
- 批准号:
1454471 - 财政年份:2015
- 资助金额:
$ 7.53万 - 项目类别:
Standard Grant
EAGER: Link Free Graph Visualization for Exploring Large Complex Graphs
EAGER:用于探索大型复杂图的链接自由图可视化
- 批准号:
0946400 - 财政年份:2009
- 资助金额:
$ 7.53万 - 项目类别:
Standard Grant
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