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Developing A Knowledge Management Spiral for the Long-Term Preservation System on Semantic Grid

机译:为语义网格的长期保存系统开发知识管理螺旋

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The goal of Long-term preservation (LTP) is to make the sustainability of archives lasting for a foreseeable enough time. The efforts are primarily hampered by challenges such as missing of standards, formal methodology and workflow model during archiving. This research is aiming to explore the LTP of various kinds of documents independently from the evolution of time and changes in techniques within digital environments. Basic requirements come from integration of storage management and information management, securing preservation of data, metadata, indexes, etc. This paper presents the evolutionary development of the LTP process for Governmental Archive Management and Knowledge Management. Effective search to resources and efficient storage/access on data, recovery drawing on co-location back-up, dynamic regulation on authentication and security management are tasks followed. Then, a pilot Semantic Data Grid and service matching mechanisms are described, where the ontologism plays a crucial role.
机译:长期保存(LTP)的目标是使档案的可持续性在可预见的足够时间内持续。归档期间缺少标准,正式方法论和工作流程模型等挑战主要阻碍了这些工作。这项研究旨在独立于时间的演变和数字环境中技术的变化而探索各种文档的LTP。基本要求来自存储管理和信息管理的集成,确保数据,元数据,索引等的安全保存。本文介绍了用于政府档案管理和知识管理的LTP流程的演进。有效的资源搜索和有效的数据存储/访问,托管托管备份的恢复,身份验证和安全管理的动态监管是接下来的任务。然后,描述了试验性语义数据网格和服务匹配机制,其中本体论起着至关重要的作用。

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