A next generation knowledge management system architecture

Sameera Abar, Toru Abe, Tetsuo Kinoshita
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引用次数: 24

Abstract

The explosive growth in online information is making it harder for large, globally distributed organizations to foster collaboration and leverage their intellectual assets. Recently, there has been a growing interest in the development of next generation knowledge management systems focussing on the artificial intelligence based technologies. We propose a generic knowledge management system architecture based on ADIPS (agent-based distributed information processing system) framework. This contributes to the stream of research on intelligent KM system to supports the creation, acquisition, management, and sharing of information that is widely distributed over a network system. It will benefit the users through the automatic provision of timely and relevant information with minimal effort to search for that information. Ontologies which stand out as a keystone of new generation of multiagent information systems, are used for the purpose of structuring the resources. This framework provides personalized information delivery, identifies items of interest to user proactively and enables unwavering management of distributed intellectual assets.
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下一代知识管理系统架构
在线信息的爆炸性增长使得全球分布的大型组织更难促进协作和利用其知识资产。近年来,人们对基于人工智能技术的下一代知识管理系统的开发越来越感兴趣。提出了一种基于agent-based分布式信息处理系统(ADIPS)框架的通用知识管理系统架构。这为支持在网络系统中广泛分布的信息的创建、获取、管理和共享的智能知识管理系统的研究提供了新的思路。它将通过自动提供及时和相关的信息而使用户受益,而无需费力搜索这些信息。本体作为新一代多智能体信息系统的基石,被用于构建资源。该框架提供个性化的信息传递,主动识别用户感兴趣的项目,并实现对分布式知识资产的坚定管理。
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