Abstract—Though biomedical research often draws on knowledge from a wide variety of fields, few visualization methods for biomedical data incorporate meaningful cross-database e...
Michael D. Lieberman, Sima Taheri, Huimin Guo, Fat...
Ontology is increasingly seen as a key factor for enabling interoperability across heterogeneous systems and semantic web applications. Ontology mapping is required for combining ...
The vision of the Semantic Web is to make Web content machine-readable. To describe data, the Resource Description Framework has been extended with a schema-level and description ...
DarGridⅡ is an implemented database gird system whose goal is to provide a semantic solution for integrating database resources on the web. Although many algorithms have been pro...
Xiaoqing Zheng, Huajun Chen, Zhaohui Wu, Yuxin Mao
Information extraction and integration from heterogeneous, autonomous data resources are major requirements for many spatial applications. Geospatial analysis for scientific disco...