KMS中的知识仓库模式设计

知识仓库是知识管理系统（KMS）的重要组成部分,知识仓库模式设计的好坏直接影响到开发的软件质量。通过对KMS的知识仓库模式设计的需求分析,提出了一个基于知识载体、知识内容、知识背景、知识主体和角色的知识仓库模式的概念设计方案,并利用知识建模语言CML较详细地设计了KMS的知识仓库模式。利用该规范化的模式建立的知识仓库,可以更加方便有效地实现KMS的背景敏感性、用户敏感性、灵活性和建设性,并有助于显性及隐性知识的统一管理。     

KMS中用户知识共享行为模型的构建

用户知识共享行为是影响知识管理系统KMS（knowledge management systems,KMS）能否取得预期运行效果的关键因素。现有的一些KMS还不具有根据用户日常的知识活动自动评估用户知识共享行为的功能,限制了KMS在知识共享文化形成中的作用。在此从行为和动作的表示入手,基于BNF的行为表示体系、知识共享行为ontology和行为树映射方法,提出了一个动态、实时、自适应、交互式用户知识共享行为模型,该模型包括基于BNF的行为和动作的表示、知识共享行为ontology、用户知识共享行为树及其动态创建过程等内容,能够实现从数量上对用户知识共享的参与度做出评价,可以作为开发实现该功能的Agent程序的一般框架。     

Ajax技术在KMS系统中的设计与应用

Ajax是JavaScritp、XML等多种技术的集合,介绍了如何将Ajax技术应用到KMS系统中。主要包括Ajax技术工作原理及其如何提升KMS系统的性能,给出了系统应用的关键代码和最终效果。结果表明,应用Ajax技术提高了KMS系统的响应速度和用户友好度。     

智能CAD中的产品设计知识研究

如何表达产品设计知识是智能CAD系统开发中的一个关键技术，本文从智能CAD使用者－产品设计人员和智能CAD的开发者－软件开发人员的角度，对产品设计知识的结构进行了研究，提出了一个合乎设计人员思维习惯和便于软件开发实现的和识体系结构，并以CBR技术为设计知识推理使用方法，智能CAD实现了对产品设计过程的多个设计阶段的智能支持。     

OA模型的可配置流程与知识管理技术

工作流技术是提高企业业务过程效率和生产率的关键技术。知识管理是在适当的时间把相关的信息与知识传送给适当的人员，使其能够有效地利用信息与知识，采取行动，产生效益的科学。该文研究了工作流技术和知识管理方法在办公自动化系统中的应用，提出了一种基于工作流理论的以可配置流程和知识管理为特点的OA模型，即FDOA模型，该模型通过可配置流程实现了OA系统中每个实体运用知识进行协同工作的自动化过程。     

企业知识管理中提高知识共享程度的对策研究

本文从知识管理的概念入手，指出了知识共享在知识管理中的重要性和特殊地位，进而从企业的信息基础建设、内部的组织结构、企业文化以及对人员的激励机制四个方面，深入探讨了如何提高企业知识共享程度，加强企业竞争力。     

基于知识的协同设计任务分配双向选择模型

针对协同设计任务分配中忽略设计人员自我发展需求的问题,在对设计人员知识作业过程进行分析的基础上,提出显性知识的学习模型和知识集合的概念,并构建了一个能实现任务与设计人员之间双向选择的优化模型,从而实现任务的合理分配,达到任务完成时间最短和设计人员知识学习最大化之间的平衡。最后,通过算例分析验证了模型的有效性：模型的使用有利于设计人员知识扩容;模型的循环使用对完成任务时间的缩短有利。     

实现人工神经网络知识增殖能力的一种方法

具有知识增殖能力的神经学习系统是人工神经网络发展的一个重要方向，备受研究人员的关注．传统上对神经学习系统知识的增殖或重用研究偏重于对个体网络的改造，根据知识积累和继承的思想，引入自治神经网络(autonomous artificial neural network，AANN)的理念，以此作为构造知识可增殖神经学习系统的基础，利用群体网络的方法成功解决了神经学习系统的拓展和知识增殖问题．AANN和一般神经网络的区别在于其自治能力，采用AANN模块构造的神经学习系统，具有知识增殖能力，其可靠性、可拓展性和灵活性都得到提高．实验结果表明，该方法构造的群体网络系统可有效继承其模块所学习的知识．     

一个面向软件过程的知识挖掘与管理系统

软件过程的知识密集性特征要求组织人员的密切协作、交流，并能够有效地重用组织的实践经验。数据挖掘技术能够从大规模数据中发现有意义的知识，能够为知识管理提供有益的支持，从而得到更好的知识共享和重用效果。在对软件过程进行分析的基础上，提出了协同知识管理模型。介绍了一个集成的面向软件过程的知识挖掘与管理系统iKnow。对iKnow的知识表示、知识挖掘、知识服务和个性化知识检索进行了论述。系统使软件组织的实践经验成为可视、可控和可重用的知识资源。     

知识表达的发展状况和趋势

知识表达是人工智能研究中最关键的分支之一。本文对知识表达的概念和任务进行深入的论述，分析了其发展历史和各阶段的研究特点，阐述了几个典型的知识表达系统，并预测了知识表达的今后发展趋势。     

Design and validation of a knowledge map system—the case of construction industry in Taiwan

Knowledge map systems (KMSs) have recently received widespread attention. A review of the literature shows that relatively few studies explicitly address the issues of implementation and user evaluation of the system and are limited in application. In view of this dilemma, this study aims to integrate the key features of knowledge assets maps, knowledge sources maps, knowledge structure maps, and knowledge task maps in order to develop an operational KMS. Also, the technology acceptance model was used as the theoretical basis for the assessment of user acceptance of the system, which is validated using structural equation modeling. In terms of user acceptance assessment, our empirical results shows that the perceived usefulness and perceived ease of use will positively affect user attitude toward the proposed KMS. Also, our results suggest that social defense negatively moderates the effect of attitude toward the system on behavior intention. Furthermore, we found that the management system also positively moderates the effect of attitude toward the system on behavior intention. On the basis of theoretical evaluation and empirical investigation, we hope that the proposed construction of a knowledge system can serve as references for both academic and related practical fields.     

Knowledge management systems and organizational knowledge processing challenges: A field experiment

This paper investigates the appropriateness of knowledge management system (KMS) designs for different organizational knowledge processing challenges. Building on the theory of task-technology fit (TTF), we argue that different KMS designs are more effective for different knowledge tasks. An exploratory field experiment was conducted in the context of Internet-based knowledge sharing services to provide empirical support for our hypotheses. The results of our experiment show that a KMS designed to support the goal GENERATE is more appropriate for divergent type knowledge problems because of its affordances for iterative brainstorming processes. Conversely, for convergent type knowledge processing challenges, a KMS with the goal CHOOSE that supports the ability to clarify and to analyze is more effective.     

Effective Knowledge Management Systems for a Clinical Nursing Setting

Given the critical role of nurses as knowledge workers in a hospital environment, this study investigates the knowledge management processes and organizational enablers associated with effective knowledge management systems (KMS) for a clinical nursing setting. The interview and survey findings shed light on how to effectively design and deploy a clinical KMS in a hospital nursing environment.     

ICT-supported knowledge representation for development of routines in industry

Organizational Learning (OL) is important for a firm’s productivity growth. According to some literatures, information and communication technology do not support organizational learning and therefore not enhanced productivity. This research however has demonstrated that in the case of manufacturing companies some computer-based systems representing organizational knowledge—knowledge management systems (KMS) do support organizational learning. For OL to take place through KMS, our findings suggest that a deliberate organizational learning structure must be in place within the organization. This article demonstrates how knowledge management systems deliberately developed and implemented by management, can support the development of operating routines for manufacturing industries. KMS, if deliberately implemented for the purpose of empowering employee participation, may be a supporting mechanism for process and product improvement and innovation in manufacturing organizations. Such a structure may results, as our case demonstrates, in a dynamic and iterative employee—management knowledge development process resulting in productivity enhancement.     

基于Web Service的虚拟研究中心KMS构建

针对虚拟研究中心知识管理敏捷化、柔性化和分布式的需求特性,结合Web Service技术搭建了虚拟研究中心知识管理系统网络体系架构,提出一种基于Web Service的虚拟研究中心知识管理系统模型。依据模型框架,构建雅砻江水电开发虚拟研究中心知识管理系统。研究表明,依据模型构建的虚拟研究中心知识管理系统能有效地实现基于Web的知识共享、交流和创新,模型具有较好的可靠性和可行性。     

Effects of information technologies,department characteristics and individual roles on improving knowledge sharing visibility: a qualitative case study

Knowledge sharing visibility (KSV) is a critical environmental factor which can reduce social loafing in knowledge sharing (KS). This is especially true in ICT-based KS in learning organisations. As such, it is imperative that we better understand how to design technology enabled knowledge management systems (KMS) to support high KSV. This article examines the impact of knowledge management technology functions (e.g. tracking, knowledge storing) on KSV through qualitative analysis of 16 semi-structured interviews with participants in a Chinese company. Impact and implications of use for their existing KMS are examined. This article also examined the effects of department characteristics (i.e. group size and task characteristics) and individual roles (i.e. employee positions) on the IT–KSV relationship. Results encourage applied statistical, tracking, knowledge distribution and knowledge storing functions for monitoring explicit KS, and suggest integration of visualised knowledge maps with communication tools (e.g. Instant Messenger (IM)) to support visibility for implicit KS. Findings also suggest that KM technologies are more salient on improving KSV in large department with routine tasks, and that low-level employees may have more positive attitude on accepting communication tools on sharing knowledge. Extension to use of Web 2.0 technologies (e.g. weblogs) in KMS is also explored.     

基于Web2.0的企业知识管理系统设计与实现

针对目前知识管理系统存在的问题,提出一种基于Web2.0的企业知识管理系统,介绍其总体架构的设计方法,通过分析知识管理的特点以及该框架中各组件的功能,实现企业知识的有效管理。实验结果表明,该系统具有良好的可扩展性,具有一定应用价值。     

知识管理中的联想检索

提供高效便捷的知识检索途径是知识管理系统走向实用化的关键，但传统的检索方法会遗漏大量有用信息而不适用于知识管理系统。文中根据语义网络中概念之间的语义关系把概念分解成核心网络和同义网络，并构造了一个检索扩展模板，以实现对查询语句的语义扩展，最后构造了一个权值计算函数对检索结果进行排序。