A Personalized Microbe Biodiversity Dataspace Information System  

作　　者：LIU Junqiang PENG Zhiyong LI Xuhui ZHENG Congyi FANG Chengxiang 

机构地区：[1]State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, Hubei, China [2]School of Life Sciences, Wuhan University, Wuhan 430072, Hubei, China

出　　处：《Wuhan University Journal of Natural Sciences》2007年第5期932-936,共5页武汉大学学报（自然科学英文版）

基　　金：Supported by the National Natural Science Foundation of China (60573095);the Program for New Century Excellent Talents at Univer-sity of China (NCET-04-0675);the National High Technology Research and Development Program of China (2006AA12Z210);Specialized Research Fund for the Doctoral Program of Higher Education of China (20050486024);State Key Laboratory of Software Engineering (SKLSE05-01)

摘　　要：It can not provide dynamic view mechanism in previous dataspace information system. In this paper, the dynamic extendable view mechanism provided by object deputy model is proposed for personalized dataspace information system which can provide rich semantics and enough flexibility. The flexible inheritance avoids a lot of data redundancy. The cross class query mechanism allows users to find more related data based on complex relationships. The personalized dataspace service provides less storage space consumption and shorter query response time. The experiment result shows that our approach is more feasible and efficient than the traditional one.It can not provide dynamic view mechanism in previous dataspace information system. In this paper, the dynamic extendable view mechanism provided by object deputy model is proposed for personalized dataspace information system which can provide rich semantics and enough flexibility. The flexible inheritance avoids a lot of data redundancy. The cross class query mechanism allows users to find more related data based on complex relationships. The personalized dataspace service provides less storage space consumption and shorter query response time. The experiment result shows that our approach is more feasible and efficient than the traditional one.

关 键 词：object deputy model BIODIVERSITY cross class query personalized dataspace 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]