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An Overview of Knowledge Cluster Systems

机译:知识集群系统概述

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摘要

Today, Web plays the role of a "social memory" with vast amount of information on our social and environmental activities. We believe that we can develop a global-scale knowledge network which can enable us to solve various social and environmental problems, by discovering hidden rules through the comprehensive analysis of vast amounts of data and by combining and unifying individually accumulated data of various domains and organizations. To that end, we advance the development of the next generation's Knowledge Cluster Systems with the aim of transforming the Web into systems for more intellectually satisfying information processing and rigorous analysis. In this paper, we will explain two major components of our knowledge information infrastructure; the interdisciplinary correlation search base on heterogeneous knowledge and service-oriented knowledge information management base on grid computing.
机译:如今,Web扮演着“社会记忆”的角色,拥有有关我们的社会和环境活动的大量信息。我们相信,通过对大量数据的综合分析来发现隐藏的规则,并结合并统一各个领域和组织的个人积累的数据,我们可以开发一个全球性的知识网络,从而使我们能够解决各种社会和环境问题。 。为此,我们推进下一代知识集群系统的开发,其目的是将Web转换为更智能的信息处理和严格分析的系统。在本文中,我们将解释知识信息基础架构的两个主要组成部分;基于异构知识的跨学科关联搜索和基于网格计算的面向服务的知识信息管理。

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