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A Three-layered Architecture for Event-centric Interconnections among Heterogeneous Data Repositories and its Application to Space Weather

机译:异构数据存储库之间以事件为中心的三层体系结构及其在空间天气中的应用

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Various knowledge resources are spread to a world-wide scope. Unfortunately, most of them are community-based and never thought to be used among different communities. That makes it difficult to gain "connection merits" in a web-scale information space. This paper presents a three-layered system architecture for computing dynamic associations of events to related knowledge resources. The important feature of our system is to realize dynamic interconnection among heterogeneous knowledge resources by event-driven and event-centric computing with resolvers for uncertainties existing among those resources. This system navigates various associated data including heterogeneous data-types and fields depending on user's purpose and standpoint. It also leads to effective use for the sensor data because the sensor data can be interconnected with those knowledge resources. This paper also represents application to the space weather sensor data.
机译:各种知识资源遍布全球。不幸的是,它们中的大多数是基于社区的,从来没有被认为是在不同社区中使用的。这使得难以在网络规模的信息空间中获得“连接优点”。本文提出了一种三层系统架构,用于计算事件与相关知识资源的动态关联。我们系统的重要特征是通过事件驱动的和以事件为中心的计算以及解决这些资源之间存在的不确定性的事件,来实现异构知识资源之间的动态互连。该系统根据用户的目的和立场来导航各种相关数据,包括异构数据类型和字段。由于传感器数据可以与那些知识资源互连,因此也可以有效地使用传感器数据。本文还介绍了在空间天气传感器数据中的应用。

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