K2/Kleisli and GUS: Experiments in integrated access to genomic data sources
K2/Kleisli and GUS: Experiments in integrated access to genomic data sources
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DOI：
10.1147/sj.402.0512
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发表时间：
2001-01-01
影响因子：
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通讯作者：
Stoeckert, CJ
中科院分区：
文献类型：
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作者：
Davidson, SB;Crabtree, J;Stoeckert, CJ
对异构数据源的综合访问是生物医学界面临的一个重大挑战。研究了几种解决方案策略：链接驱动的数据库联合、视图集成和仓库。在本文中，我们报告了我们在宾夕法尼亚大学开发的两个系统的经验：K2，一个视图集成实现，和GUS，一个数据仓库。尽管视图集成和仓库方法各有优势，但没有明确的“赢家”。因此，在为特定应用程序选择最佳策略时，用户必须考虑数据特征、所需的性能保证和可用的编程资源。我们的经验还指出了一些实用技巧，包括如何发布数据库更新，以及如何使用XML促进仓库环境中的更新处理。
The integrated access to heterogeneous data sources is a major challenge for the biomedical community. Several solution strategies have been explored: link-driven federation of databases, view integration, and warehousing. In this paper we report on our experiences with two systems that were developed at the University of Pennsylvania: K2, a view integration implementation, and GUS, a data warehouse. Although the view integration and the warehouse approaches each have advantages, there is no clear "winner." Therefore, in selecting the best strategy for a particular application, users must consider the data characteristics, the performance guarantees required, and the programming resources available. Our experiences also point to some practical tips on how database updates should be published, and how XML can be used to facilitate the processing of updates in a warehousing environment.