SBIR Phase I: A Radically Efficient Search and Visual Mapping Tool for the Social Sciences
SBIR 第一阶段:用于社会科学的极其高效的搜索和可视化绘图工具
基本信息
- 批准号:1622260
- 负责人:
- 金额:$ 22.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-07-01 至 2017-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This SBIR Phase I project aims to develop a working prototype for an interactive search and visualization tool that redefines how social scientists and business practitioners interested in scholarly research findings identify such findings. Instead of reading through numerous, unstructured, and often irrelevant text results (such as those produced by traditional academic search engines), users get to (a) instantly view and easily navigate research findings via intuitively-structured, clickable visual maps, and (b) accurately identify those papers most relevant to them, thanks to semantically intelligent indexing and visual reconciliation. This efficiency-enhancing tool makes research findings substantially easier to understand and explore, while drastically cutting down search times for such findings (to half or even less) which will ultimately enhance the efficiency of research endeavors at U.S. universities. Moreover, various inquiries have shown that practitioners in applied fields such as marketing or management place high value on academic research in the social sciences, yet often find such research difficult to understand. The proposed solution distills social science findings into an easily digestible format, hence facilitating the knowledge transfer between academia and businesses, and enhancing the value of academic research to society. Finally, by being marketed as a subscription-based service to both academics and business practitioners, the proposed tool has the potential to generate substantial commercial value in the long term (up to $50 million in annual revenue).The proposed tool fundamentally alters the existing search paradigm in the social sciences, by changing both the way in which research findings from academic papers are indexed, and how such findings are visually presented. It combines an innovation on the back-end (i.e., using Natural Language Understanding (NLU) to automatically extract concepts and causal relationships from academic research papers, and semantically categorize those concepts against a set of discipline-specific thesauri) with an innovation on the front-end (i.e., using aggregate causal mapping to represent the academic literature in the form of interactive maps that can be visually explored and narrowed down in order to precisely locate relevant papers). The main research objective is to test the feasibility of (1) using NLU for accurately identifying and extracting the underlying concepts/variables and causal structure of the studies described in a large set of social science research papers (approximately 1,000 published papers), and of (2) automatically rendering the extracted information in the form of causal maps that both academic and non-academic users can intuitively understand and navigate. This research objective has been reached if a group of test users employ the proposed tool to successfully identify research papers examining particular concepts and relationships, and do so in about half the time needed when using a traditional academic search engine for the same task.
SBIR第一阶段项目旨在为交互式搜索和可视化工具开发一个工作原型,重新定义对学术研究结果感兴趣的社会科学家和商业从业者如何识别这些结果。用户不必阅读大量非结构化且通常不相关的文本结果(例如传统学术搜索引擎产生的结果),而是可以(a)通过直观结构化、可点击的可视化地图即时查看并轻松导航研究结果,(B)准确识别与他们最相关的论文,这要归功于语义智能索引和视觉协调。这种提高效率的工具使研究结果更容易理解和探索,同时大大减少了这些发现的搜索时间(减少一半甚至更少),这将最终提高美国大学研究工作的效率。此外,各种调查表明,在应用领域,如营销或管理的从业人员高度重视社会科学的学术研究,但往往发现这种研究很难理解。建议的解决方案将社会科学研究成果提炼成易于消化的形式,从而促进学术界和企业之间的知识转移,并提高学术研究对社会的价值。最后,通过向学术界和商业从业者提供基于订阅的服务,拟议的工具有可能产生长期的巨大商业价值(年收入高达5000万美元)。拟议的工具从根本上改变了社会科学领域现有的搜索范式,改变了学术论文研究成果的索引方式,以及这些发现如何在视觉上呈现。它结合了后端的创新(即,使用自然语言理解(NLU)从学术研究论文中自动提取概念和因果关系,并对照一组学科特定的词库对这些概念进行语义分类),在前端具有创新(即,使用聚合因果映射以交互式地图的形式表示学术文献,可以直观地探索和缩小范围,以便精确地定位相关论文)。主要研究目的是测试(1)使用自然语言理解准确识别和提取大量社会科学研究论文中描述的基本概念/变量和因果结构的可行性(约1,000篇论文),以及(2)以因果图的形式自动呈现所提取的信息,学术用户可以直观地理解和导航。如果一组测试用户使用所提出的工具成功识别研究特定概念和关系的研究论文,并且只需使用传统学术搜索引擎执行相同任务所需时间的一半左右,则该研究目标就已实现。
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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Gratiana Pol其他文献
Embodiment in Consumer Judgment and Decision-Making: Behavioral, Psychological, and Neural Perspectives
消费者判断和决策的体现:行为、心理和神经视角
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
M. Reimann;J. Ackerman;Raquel Castaño;N. Garg;Robert Kreuzbauer;A. Labroo;Angela Y. Lee;Spike W. S. Lee;A. Malter;M. Morrin;Gergana Y. Nenkov;Jesper H. Nielsen;Maria Eugenia Perez;Gratiana Pol;Jose A Rosa;C. Yoon;J. Zaichkowsky;C. Zhong - 通讯作者:
C. Zhong
Insights into the Experience of Brand Betrayal: From What People Say and What the Brain Reveals
洞察品牌背叛的经历:来自人们的言论和大脑的揭示
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:2.6
- 作者:
M. Reimann;D. Macinnis;V. Folkes;Arianna Uhalde;Gratiana Pol - 通讯作者:
Gratiana Pol
Gratiana Pol的其他文献
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