Integration of Avian Influenza Virus Information Sources for Korea e-Science

Autor: Yoon-Joon Lee, Dong-Hoon Choi, Young-Kyun Suh, Woo-Lam Kang
Rok vydání: 2008
Předmět:
Zdroj: eScience
DOI: 10.1109/escience.2008.119
Popis: There are multiple data sources storing avian influenza virus information in Korea. Research on AI requires scientists to collect, integrate, share and analyze AI virus information from the data sources. Since the sources are heterogeneous, autonomously created and maintained by different institutions, it is very difficult for AI researchers to search their data sets from the sources. In this paper, we propose a mediator-based data integration system, which integrates such multiple heterogeneous AI virus information sources. Mediation approach to integrating the sources requires scientists to define the semantic mapping among them. Most AI researchers do not have enough knowledge on the sources to define the mapping. To alleviate their efforts, AVIS provides a visual administration tool to browse schema of data sources and easily define the semantic mapping for data integration. It also provides Web-based graphical interface to easily access and share data from multiple heterogeneous AI virus information sources.
Databáze: OpenAIRE