知识管理系统:主动和被动知识的体系结构

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
S. Galup, R. Dattero, R. Heeks
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引用次数: 37

摘要

知识管理系统知识管理系统为组织提供了一个管理其信息资产的环境,如文档、数据库等。现有的知识管理系统通过查询数据库、显示文档、显示网页等方式被动地使用知识。KMS可以扩展为包含活动组件,例如专家系统和业务规则系统。目前,业务规则驻留在应用程序代码和数据库触发器中。具有嵌入式专家系统的KMS使用来自组织的业务规则,结合客户机/服务器体系结构中的服务器连接,为在本地和企业级自动化业务活动提供了良好的环境。将业务规则分离到知识层KT中应该降低开发和维护的成本,提高准确性,并确保公司范围内的一致性。此外,目前正在开发知识核查工具,使不太结构化的任务能够电脑化,从而能够通过电脑化提高另一轮效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge Management Systems: An Architecture for Active and Passive Knowledge
Knowledge Management Systems KMS offer an environment for organizations to manage their information assets e.g., documents, databases, etc.. Existing KMS passively employ knowledge by querying a database, showing a document, displaying a Web page, etc. KMS can be extended to incorporate active components, such as expert systems and business rule systems. Currently, business rules reside in application code and database triggers. A KMS with an embedded expert system using business rules from the organization, combined with the connectivity of a server in a client/server architecture, provides an excellent environment for automating business activities at both local and enterprise levels. The segregation of business rules into the Knowledge Tier KT should lower the cost of development and maintenance, increase accuracy, and ensure corporation-wide consistency. In addition, knowledge verification tools are now being developed that will allow the computerization of less structured tasks, enabling another round of increased efficiency through computerization.
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
期刊介绍: Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management
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