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Planning Grant: I/UCRC for Semantic Computing

Planning Grant: I/UCRC for Semantic Computing
规划资助:I/UCRC 用于语义计算
批准号:
1338935
负责人:
Mihaela van der Schaar
金额:
$1.15万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-08-15 至 2015-01-31

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中文摘要
翻译
语义计算(SC)是一个新兴的计算技术领域,它允许用户搜索、创建、操作和连接计算资源。研究工作将由加州大学欧文分校作为牵头机构,与加州大学洛杉矶分校和加州大学圣地亚哥分校合作。语义计算包括计算技术(例如,人工智能、自然语言、软件工程、数据和知识工程、计算机系统、信号处理等)及其相互作用,可用于提取或处理计算内容和描述。提议的I/UCRC将专注于提供导致语义问题解决(SPS)网络的技术,在该网络中,分布式资源可以基于语义轻松连接,以解决问题。虽然语义计算的一些领域在单独的学科中作为孤立的部分出现,但语义计算将这些部分粘合在一起,形成一个具有协同作用的集成主题。它不仅涉及信号(例如,像素,单词)的分析和转换为有用的信息,而且还涉及如何访问这些信息并使用这些信息来合成新信号。这三个拟议的校园具有互补的优势领域,并强调语义计算系统的不同方面。所有参与的教师都是语义计算相关的一个或多个领域的杰出研究人员。拟议的I/UCRC开发的技术可能支持目前互联网尚未实现的新的互联互通。因此,它可能会促进互联网向Web 3.0的过渡,并刺激新的商业模式,以实现每个人都能受益的更好的经济。拟议的资讯科技中心/UCRC所开发的技术,将透过互联网向公众提供。资讯科技中心预期会在五个选定的范畴以外,产生更广泛的影响。选择这五个领域是因为它们表征了解决问题的不同方面,例如,创造力(IT,娱乐),学习(教育)和决策(健康,金融),这适用于许多其他领域,如制造业,科学,工程和人文科学。
英文摘要
Semantic Computing (SC) is an emerging field that addresses computing technologies which allow users to search, create, manipulate and connect computational resources. The research efforts will be anchored by the University of California-Irvine as the lead institution, partnered with the University of California-Los Angeles and the University of California-San Diego. Semantic Computing includes the computing technologies (e.g., artificial intelligence, natural language, software engineering, data and knowledge engineering, computer systems, signal processing, etc.), and their interactions, that may be used to extract or process computational content and descriptions. The proposed I/UCRC will focus on providing technologies that lead to a Semantic Problem Solving (SPS) network where distributed resources can be easily connected based on semantics for the purpose of problem solving. While some areas of Semantic Computing have appeared as isolated pieces in individual disciplines, Semantic Computing glues these pieces together into an integrated theme with synergetic interactions. It addresses not only the analysis and transformation of signals (e.g., pixels, words) into useful information, but also how such information can be accessed and used to synthesize new signals. The three proposed campuses have complementary areas of strength and have emphasized different aspects of Semantic Computing systems. All participating faculty are prominent researchers in one or more areas related to Semantic Computing. The technologies developed by the proposed I/UCRC may support new inter-connectivity that has not been realized by the Internet today. It therefore may facilitate the transition of the Internet into Web 3.0 and stimulate new business models for a better economy that everyone can benefit. The technologies developed by the proposed I/UCRC will be delivered to the public via the Internet, and the PIs expect to create broader impacts in areas other than the five selected. The five areas are chosen as they characterize different aspects of problem solving, e.g., creativity (IT, entertainment), learning (education) and decision making (health, finance), which are applicable to many other areas such as manufacturing, science, engineering, and the humanities.
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