loading...
Semantic Data Integration in Materials Science Based on Semantic Model
Bangalore, India December 10-December 13
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/E-SCIENCE.2007.66Third IEEE International Conference o ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Resolving semantic heterogeneity and giving users a unified view to access distributed data sources is one of the focuses in scientific data Management research community. For the integration and share of scientific data in materials science, a semantic model for materials scientific data is designed based on ontology technology. The semantic model covers the key concepts in materials science and their semantic relationships. With the semantic model which is considered as the global conceptual model, a semantic integration method is proposed, where mappings between the semantic model and local ontology as well as mappings between local ontology and data schema are built to make seamless semantic interoperability possible. Furthermore, the architecture and implementation details for the mappings are presented. Finally, the experimental results demonstrate the work of this paper, and show that the semantic model and integration method are useful in heterogeneous materials data environment.
Citation:
Xiaoming Zhang, Changjun Hu, Qian Zhao, Chongchong Zhao, "Semantic Data Integration in Materials Science Based on Semantic Model," e-science, pp.320-327, Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007), 2007
Usage of this product signifies your acceptance of the Terms of Use.