摘要
针对现有知识网络研究中存在的传感器能力要求高、系统可靠性低、扩展性差以及管理维护复杂等问题,本文提出了一种面向自主服务的扁平化知识网络结构及其构建方法.知识网络中间件层负责采集底层传感器网络节点所产生的数据,然后对其进行处理形成知识,并提供API接口供上层服务调用.中间件层由若干个可相互通信的元件构成,元件内部完成知识的封装,元件间可依据知识需求类型建立连接组建逻辑网络,实现知识的有效管理和分发.实验部分验证了扁平化知识网络结构方案的可行性.
To solve the problems of higher demand of sensor capability, lower system reliability, poorer expansibility and the complexity of network management in the construction of knowledge network, the authors propose a novel service-oriented knowledge network with a flatting structure as well as its con struetion method. The corresponding middleware layer is utilized to collect the data generated by the bottom sensor network, convert them into knowledge and finally provide the API service for the upper layer applications. The middleware layer consists of some components, which can communicate with each other so as to finish the knowledge encapsulation and distribution. A logic network is built up through the connections between components according to the knowledge types, so as to enhance the ef fectiveness of knowledge distribution and management. The simulation results demonstrate the feasibili ty of the flat knowledge network structure scheme.
出处
《四川大学学报(自然科学版)》
CAS
CSCD
北大核心
2013年第5期973-978,共6页
Journal of Sichuan University(Natural Science Edition)
基金
国家科技重大专项(2010ZX03004-002-01
2013ZX03005009-002)
教育部博士点基金(20090181110053)
教育部新世纪优秀人才支持计划项目(NCET-10-0604)
四川省青年基金项目(09ZQ026-028)
关键词
自主网络
知识网络构建
扁平化
自主服务
中间件
autonomic network, knowledge network construction, flatting, autonomic service, middle-ware