云计算架构下基于语义驱动的信息推荐理论和实证研究

项目名称： 云计算架构下基于语义驱动的信息推荐理论和实证研究

项目编号： No.61272268

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 黄震华

作者单位： 同济大学

项目金额： 80万元

中文摘要： 信息和网络技术的迅速发展使得信息过载呈爆发趋势。信息推荐系统是解决信息超载问题最有效的工具之一，然而现有的信息推荐系统在实时性、鲁棒性和推荐质量方面存在着严重的缺陷。为此，本项目将提出云计算架构下基于语义驱动的信息推荐理论和方法，包括以下五个紧密相关的研究内容：基础数据和用户偏好信息的语义化研究、云计算架构下海量语义化信息索引机制研究、基于语义计算理论的信息推荐方法研究、云计算架构下信息推荐系统动态迁移技术研究和云计算架构下基于语义驱动的信息推荐实证研究。本项目从根本上改变了现有系统重数据数学特征，而轻数据背后所隐含知识语义的现状，为信息推荐提供新的理论和技术途径，并在提高企业经济效益和政府、企事业单位的社会管理服务水平方面将产生重要的作用。

中文关键词： 信息推荐；语义计算；大数据；云架构；动态迁移

英文摘要： As the rapid development of information and network technologies, information overload has appeared the outbreak trend. Information recommender systems is the one of the most effective tools to solve the problem of information overload. However, to the best of our knowledge, the existing information recommender systems have the serious drawbacks in the aspects of real-timing, robustness and recommendation quality. Therefore, in this project, we will put forward the theories and approaches for semantic-driven information recommendation under cloud architecture. It mainly includes the following five aspects which are closely related to the project: the research of semantics of foundation data and user preference informations; the research of indexing mechanism of massive semantic informations under cloud architecture; the research of recommendation approaches of based on semantic computation theory; the research of technologies of dynamic migration under cloud architecture; and the demonstration research of semantic-driven information recommendation under cloud architecture. This project fundamentally changes the status quo that the existing information recommender systems focus on the mathematical characteristics of data, and ignore the underlying knowledge semantics of data, and provides a novel theoretical an

英文关键词： information recommendation；semantic computing；big data；cloud architecture；dynamic transfer