II-NEW: Infrastructure for Change: From a Teaching Department to National Prominence

II-新：变革的基础设施：从教学部门到全国知名

• 批准号: 1204347
• 负责人: Ophir Frieder
• 金额: $ 46万
• 依托单位: Georgetown University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1204347&HistoricalAwards=false
• 关键词: II; NEW; Infrastructure; Change; Teaching

Over the last several years, Georgetown University has espoused apolicy of growth for its science departments. This project supportsGeorgetown University's growth goals by positing a multifacetedresearch program that explores new techniques for processing largecollections of text data.The project examines how both new and existing text processing methodsmay be applied to a variety of open problems across differentdisciplines within computer science. Research activities include textmining for large-scale document collections; machine learningtechniques for detecting malicious executables; information retrievalmethods for performing proactive digital forensic investigations; textprocessing approaches for preventing privacy breaches in encryptedvoice-over-IP (VoIP) communication; and data mining and sentimentdetection methods for automated content analysis of large quantitiesof political science texts.To support these goals, the project includes the creation of anext-generation infrastructure for large-scale text processing.Data-intensive tasks will use interconnected front-end systems,connected via high-speed networking to scalable back-end storagesolutions. The infrastructure supports the development and testing ofnovel text processing algorithms on very large corpora.The project's themes of text processing and information assurance havebeen integrated into the undergraduate and graduate curricula atGeorgetown University. More broadly, the project benefits society byimproving the ability to (1) process large quantities of information,(2) identify malicious applications, and (3) improve the resiliency ofdigital communication networks to eavesdropping attacks. The projectbroadens the participation in research through the University's SummerPrograms for High School Students and the Center for MulticulturalEquity and Access.

在过去的几年里，乔治城大学一直支持其科学系的增长政策。这个项目支持乔治城大学的发展目标，提出了一个多方面的研究计划，探索处理大量文本数据的新技术。该项目研究了新的和现有的文本处理方法如何应用于计算机科学中不同学科的各种悬而未决的问题。研究活动包括用于大规模文档收集的文本挖掘；用于检测恶意可执行文件的机器学习技术；用于执行主动数字取证调查的信息检索方法；用于防止在加密的IP语音(VoIP)通信中侵犯隐私的文本处理方法；以及用于对大量政治科学文本进行自动内容分析的数据挖掘和情感检测方法。为了支持这些目标，该项目包括为大规模文本处理创建下一代基础设施。数据密集型任务将使用互连的前端系统，通过高速网络连接到可扩展的后端存储解决方案。该基础设施支持在超大型企业上开发和测试新的文本处理算法。该项目的文本处理和信息保障主题已纳入乔治敦大学的本科生和研究生课程。更广泛地说，该项目通过提高(1)处理大量信息的能力，(2)识别恶意应用程序，以及(3)提高数字通信网络对窃听攻击的弹性，使社会受益。该项目通过该大学的高中生暑期计划和多元文化公平与获取中心扩大了对研究的参与。