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作 者:胡恒杰[1] 顾新建[1] 暴志刚[1] 徐河航[1] 吕艳[1]
机构地区:[1]浙江大学机械与能源工程学院,浙江杭州310027
出 处:《浙江大学学报(工学版)》2008年第8期1445-1451,共7页Journal of Zhejiang University:Engineering Science
基 金:国家自然科学基金资助项目(70501026);国家科技支撑计划资助项目(2006BAF01A02);国家"863"高技术研究发展计划资助项目(2007AA04Z101)
摘 要:为了快速和准确地获取行业网络资源中的知识,提出了面向行业网络的知识发现及共享服务平台(IONK-DSP)系统框架.分析了平台的特点,描述了平台的多层体系结构,并给出了系统实现的过程模型.该平台能够针对设定的知识需求分类,自定义不同的知识搜索周期,从目标网络资源中持续获取最新行业知识,运用多种服务和工具满足企业用户的不同需求.通过原型系统的开发和初步应用表明,该平台能够使企业有效快捷地获得网络中海量的知识和信息,为进一步提高企业的创新能力和应变能力提供支持.An industry oriented network knowledge discovery and sharing platform (IONK-DSP) was proposed to fast and accurately obtain the knowledge from industry network resources. The features of the platform were analyzed, and the multi-layer structure of the platform was specifically described. Furthermore, a process model was given for system realization. This platform can classify knowledge aiming at the set demand, self-define different knowledge search cycles, obtain continually the newest industry knowledge from goal network resources, and satisfy different demands of enterprise users by utilizing many kinds of services and tools. The prototype system development and the preliminary application indicate that the platform can help enterprise effectively and quickly obtain the magnanimous knowledge and information in the network, and provide support for further enhance of the enterprise's innovation ability and response capacity to emergency situations.
分 类 号:TP311.52[自动化与计算机技术—计算机软件与理论]
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