Material Scientific Data Integration for Semantic Grid

摘要：

The task of improving the semantic interoperability of distributed data sources is one of the focuses in Semantic Grid research. For integrating and sharing scientific data in materials science, this paper proposes a semantic model for materials scientific data and an ontology-based data integration method. The semantic model covers the key factors in materials science and is considered as the global conceptual model. In the method, Mapping ontology and data source description ontology are designed to represent the two types of mappings formally. Furthermore, the architecture and query process are also presented. The experimental prototype is implemented to show the usefulness of the method in heterogeneous data environment for materials science.

作者: Zhang Xiaoming Hu Changjun Zhao Qian Zhao Chongchong

作者单位: Information Engineering School University of Science and Technology Beijing, Beijing, 100083, China

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）