MISSION: an agent-based system for semantic integration of heterogeneous distributed statistical information sources

S. McClean, B. Scotney, Hans Rutjes, J. Hartkamp, Isambo Karali, M. Hatzopoulos, J. Lamb, Defeng Ma
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引用次数: 2

Abstract

The MISSION system utilises query agents, in particular the matching and negotiation agents that are responsible for pre-integration where the matching agent decomposes the query into sub-queries, and then searches metadata to find datasets that match the query fragments. Such an approach provides a capability of automating the process of executing queries on heterogeneous statistical databases that are distributed over the Internet. The novelty lies in the provision of automated methods for statistical aggregation, where the heterogeneity essentially resides in the classification schemes of categorical data, including both heterogeneity of nomenclature and heterogeneity of granularity. In addition, our solution permits queries to be specified in a goal-driven query-by-example format. Rather than impose an a priori global standard, the user can query through a unified interface where integration is done at run-time.
MISSION:一个基于代理的异构分布式统计信息源语义集成系统
MISSION系统利用查询代理,特别是负责预集成的匹配和协商代理,其中匹配代理将查询分解为子查询,然后搜索元数据以找到与查询片段匹配的数据集。这种方法提供了对分布在Internet上的异构统计数据库执行查询过程的自动化能力。其新颖之处在于为统计聚合提供了自动化方法,其中异质性主要存在于分类数据的分类方案中,包括命名法的异质性和粒度的异质性。此外,我们的解决方案允许以目标驱动的按示例查询格式指定查询。用户可以通过统一的接口进行查询,而不是强加一个先验的全局标准,在运行时进行集成。
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