PFI:AIR - TT: Market Driven Innovations and Scaling up of Twitris- A System for Collective Social Intelligence

PFI:AIR - TT：市场驱动的创新和 Twitris 的扩展——集体社交智能系统

• 批准号: 1542911
• 负责人: Amit Sheth
• 金额: $ 20万
• 依托单位: Wright State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1542911&HistoricalAwards=false
• 关键词: PFI; AIR; TT; Market; Driven

This PFI: AIR Technology Translation project focuses on translating a technology for social media monitoring and analysis, known as Twitris, to commercial application. Twitris' collective social media intelligence technology includes capabilities well beyond current state-of-the-art social media monitoring and analysis tools. The Twitris platform can provide collective exploitation of real-time social media streams, and a variety of relevant knowledge, to significantly improve decision-making and support timely actions in various domains of economic, human, and social development. Twitris' unique features include real-time semantic analysis of social media content along three dimensions: spatio-temporal-thematic, people-content-network, and sentiment-emotion-intent. These features result in deeper, contextually-relevant analysis and actionable insights when compared to the leading competing technology in this market space. This project addresses several technology gaps as it transitions Twitris from a research prototype to a scaled-up technology capable of supporting commercial applications. Consequently, three areas of research and technology enhancement will be conducted: 1) enhancing the functionalities of Twitris with a broad range of location-specific processing that requires addressing the challenge of scarcity of spatial metadata on Twitter, 2) semantics-enhanced filtering and improved user experience for automatic and semi-automatic filtering of tweets, which requires addressing challenges such as content ambiguity and information overload, and 3) scalable architecture supporting domain-specific, knowledge-enabled modules to handle high volume, variety and velocity of data. In addition, the project will also provide a unique education and training platform for students and recent graduates to prepare them for careers involving entrepreneurship, business and economic development, and careers in startups. Specifically, the project (a) bridges basic research with technology development and intellectual property development that can lead to successful commercialization and (b) involves close collaboration with successful entrepreneurs, business partners, and customers. It will also undertake structured educational activities involving five technical and business courses, while continuing to foster much-needed diversity in high-tech fields and computer science. This project engages several business partners in strategically important markets to carry out trials involving their customers in an effort to evaluate the efficacy and benefits of research and technology enhancements involved in this scale-up.

该PFI：AIR技术翻译项目的重点是将一种用于社交媒体监控和分析的技术（称为Twitris）转化为商业应用。Twitris的集体社交媒体情报技术所包含的功能远远超出了当前最先进的社交媒体监控和分析工具。 Twitris平台可以提供实时社交媒体流的集体利用，以及各种相关知识，以显著改善决策并支持经济，人类和社会发展各个领域的及时行动。 Twitris的独特功能包括社交媒体内容的实时语义分析，它可以从三个维度进行沿着：时空主题、人-内容-网络和情感-情感-意图。与该市场领域的领先竞争技术相比，这些功能可以进行更深入的上下文相关分析和可操作的见解。该项目解决了几个技术差距，因为它将Twitris从研究原型转变为能够支持商业应用的扩大技术。因此，将开展三个领域的研究和技术改进：1）通过广泛的特定于位置的处理来增强Twitris的功能，这需要解决Twitter上空间元数据稀缺的挑战，2）语义增强的过滤和自动和半自动过滤推文的改进的用户体验，这需要解决诸如内容模糊和信息过载的挑战，以及3）支持特定领域的、知识使能的模块以处理大量、多样和高速的数据的可伸缩体系结构。 此外，该项目还将为学生和应届毕业生提供一个独特的教育和培训平台，为他们从事创业，商业和经济发展以及创业公司的职业做好准备。具体而言，该项目（a）将基础研究与技术开发和知识产权开发联系起来，从而成功实现商业化，（B）与成功的企业家、商业伙伴和客户密切合作。 它还将开展有组织的教育活动，包括五个技术和商业课程，同时继续促进高科技领域和计算机科学急需的多样性。 该项目在具有重要战略意义的市场中与几个商业伙伴合作，开展有其客户参与的试验，以评估扩大规模所涉及的研究和技术改进的功效和效益。