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III: Small: Collaborative Research: Global Event and Trend Archive Research (GETAR)

III: Small: Collaborative Research: Global Event and Trend Archive Research (GETAR)
III:小型:协作研究:全球事件和趋势档案研究 (GETAR)
批准号:
1619028
负责人:
Edward Fox
金额:
$44.6万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-01-01 至 2019-12-31

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中文摘要
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英文摘要
This project will devise interactive, integrated, digital library/archive systems coupled with linked and expert-curated webpage/tweet collections, covering key parts of the 1997-2020 timeframe, supporting research on urgent global challenge events and initiatives. It will allow diverse stakeholder communities to interactively collect, organize, browse, visualize, study, analyze, summarize, and explore content and sources related to biodiversity, climate change, crises, disasters, elections, energy policy, environmental policy/planning, geospatial information, green engineering, human rights, inequality, migrations, nuclear power, population growth, resiliency, shootings, sustainability, violence, etc. Studying and addressing important global issues, by scholars, the public, and K-12 students, will be enhanced through tailored interfaces coupled with important collections that will be primary resources for understanding the modern world and its challenges, as well as initiatives, trends, and solutions.Research will extend work on modeling trends, events, and sources, to guide focused crawling, information extraction, tagging, and collaboration. Domain experts will leverage rich event models, exploiting the generality of the 5S framework (Societies, Scenarios, Spaces, Structure, Streams), extending from word, n-gram, topic, concept, and language models. This research will enable efficient assembly of knowledge bases, rapid prototyping of interfaces, gathering/curation of collections with high precision and recall, and flexible discovery in support of research and learning. Interdisciplinary research advances will address digital humanities, web archiving, information retrieval, natural language processing, machine learning, and the construction of valuable interactive/collaborative interfaces. For further information see the project web site at eventsarchive.org.
期刊论文(29)
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科研奖励(0)
会议论文
DOI: 10.1609/aaai.v34i05.6526
发表时间: 2019-11
期刊: ArXiv
影响因子: --
作者: [Ming Zhu;B. Celikkaya;Parminder Bhatia;Chandan K. Reddy]
通讯作者: Ming Zhu;B. Celikkaya;Parminder Bhatia;Chandan K. Reddy
DOI: 10.1007/s13278-018-0494-1
发表时间: 2018-03
期刊: Social Network Analysis and Mining
影响因子: 2.8
作者: [Vachik S. Dave;M. Hasan;Baichuan Zhang;Chandan K. Reddy]
通讯作者: Vachik S. Dave;M. Hasan;Baichuan Zhang;Chandan K. Reddy
Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration
使用基于逆协方差矩阵的校准来预处理删失生存数据
DOI: 10.1109/tkde.2017.2719028
发表时间: 2017
期刊: IEEE Transactions on Knowledge and Data Engineering
影响因子: 8.9
作者: [Vinzamuri, Bhanukiran, Li, Yan, Reddy, Chandan K.]
通讯作者: Reddy, Chandan K.
DOI: 10.1145/3357384.3357807
发表时间: 2019-11
期刊: Proceedings of the 28th ACM International Conference on Information and Knowledge Management
影响因子: --
作者: [Khoa D. Doan;Pranjul Yadav;Chandan K. Reddy]
通讯作者: Khoa D. Doan;Pranjul Yadav;Chandan K. Reddy
25
    I-Corps: Automated Summarization Technology
    III: Small: Integrated Digital Event Archiving and Library (IDEAL)
    SGER: Collaborative Research: Curatorial Work and Learning in Virtual Environments
    III:Small:Integrated Digital Library Support for Crisis, Tragedy, and Recovery
    国内基金
    海外基金
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