摘要
目前高校实验资源存在不同程度紧缺、区域不平衡和重复性开发等问题,为了有效共享和优化实验资源,充分提高实验资源的利用率以及发挥实验设备的性能,设计了基于语义云实验资源共享平台,平台结合了语义本体和云计算等新信息技术,阐述了平台实现的关键技术,语义描述了实验资源及相似度计算,解决了实验资源发现、查询和推理等问题,设计了实验资源本体中间件,建立了一个对实验资源进行科学、有效地管理资源共享平台,实验证明基于语义云实验资源共享平台通过云连接网络为用户提供交互界面对实验资源的访问,有效解决了资源异构性等问题,提高了实验资源的利用率,满足了实验教学信息化的需要。
In order to effectively share and optimize experimental resources and fully improve the utilization of laboratory resources, an experimental resource-sharing platform based on semantic cloud computing was designed by using semantic ontology and cloud computing technology. This paper elaborated on the key technology in the realization of the platform, described semantic experimental resources and similarity computation, solved such experimental problems as resource discovery, querying and reasoning, and designed resource ontology middleware. Experiments show that the platform effectively solved many problems including resource heterogeneity. It improved the utilization of experimental resources, thus meeting the requirements of informationization of experimental teaching.
出处
《实验室研究与探索》
CAS
北大核心
2012年第7期216-219,共4页
Research and Exploration In Laboratory
基金
广东省本科高等教育教学改革项目(BKJGYB2008077)
湛江师范学院青年项目(QL0914)
关键词
语义网
云计算
实验资源
共享平台
semantic web
cloud computing
experiment resources
sharing platform
