Integration of Avian Influenza virus information sources for Korea e-Science

Woo Lam Kang, Dong Hoon Choi, Young Kyun Suh, Yoon Joon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on eScience, eScience 2008
Pages372-373
Number of pages2
DOIs
StatePublished - 2008
Event4th IEEE International Conference on eScience, eScience 2008 - Indianapolis, IN, United States
Duration: 7 Dec 200812 Dec 2008

Publication series

NameProceedings - 4th IEEE International Conference on eScience, eScience 2008

Conference

Conference4th IEEE International Conference on eScience, eScience 2008
Country/TerritoryUnited States
CityIndianapolis, IN
Period7/12/0812/12/08

Keywords

  • AI virus
  • Data integration
  • Mediator
  • Semantic mapping
  • Wrapper

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