Center for Advanced Knowledge Enablement

传感器和科学仪器、企业和科学数据库以及互联网流量和活动的数量和分辨率的爆炸性增长产生了前所未有的数据量。管理当今使用的数据量所需的框架、元数据结构、算法、数据集、搜索和数据挖掘解决方案在很大程度上是临时的。这项提议的目标是发起一个新的产业/大学合作研究中心(I/UCRC)，以促进先进知识的实现。拟建的中心将研究大型复杂数据的表示、管理、存储、分析、搜索和社交方面的问题。拟建的中心由佛罗里达国际大学(FIU)主办，将促进对与行业相关的问题的研究，并将在一个保护资产所有权性质的论坛上提供便利。该研究计划将涉及用于增强语义的最先进技术、互联网技术和用于改进应用程序的知识表示技术。金融情报股提议的活动将对该行业产生广泛的影响，以改进数据管理和访问的应用。拟建中心的调查人员将利用他们的记录，让以西班牙裔学生为主的FIU S参与研究项目，如？亲缘团体？这使得研究生和本科生所做的研究能够与其他学生分享。该中心还计划扩大指导和毕业计算机科学家的机会，这些人来自理工科、理工科和博士生层次的代表性不足的人群。该中心计划建立一个跨越多个机构的凝聚力结构，部分方法是允许教师和博士生在合作伙伴网站上进行更长时间的研究访问。

The explosive growth in the number and resolution of sensors and scientific instruments, of enterprise and scientific databases, and of internet traffic and activity has engendered unprecedented volumes of data. The frameworks, metadata structures, algorithms, data sets, search and data mining solutions needed to manage the volumes of data in use today are largely ad-hoc. The goal of this proposal is to initiate a new Industry/University Cooperative Research Center (I/UCRC) for Advanced Knowledge Enablement. The proposed center will study the representation, management, storage, analysis, search and social aspects of large and complex data. The proposed center, hosted at Florida International University (FIU), will facilitate research on problems of relevance to industry and in a forum that protects the proprietary nature of the asset. The research program will involve state-of-the art techniques for enhancing semantics, internet technology and knowledge representation techniques for improvements in applications. The activities proposed by FIU will have a wide ranging impact on the industry for improved application of data management and access. The investigators at the proposed center will leverage their track record of involving FIU?s predominantly Hispanic student population in research with programs such as ?affinity groups? that enable research performed by the graduate and undergraduate students to be shared with other students. The Center also plans to expand opportunities of mentoring and graduating computer scientists from under-represented populations at the BS, MS, and PhD levels. The center plans to build a cohesive structure spanning multiple institutions, in part by enabling extended research visits at partner sites for faculty and doctoral students.