Developing Knowledge Management Systems from a Knowledge-Based and Multi-Agent Approach

Efforts to develop Knowledge Management have increased in recent years. However, many of the systems implanted in companies are still not greatly used by the employees because the knowledge that these systems have is often not valuable or on other occasions, is useful but employees do not know how to search for that which is most suitable. Moreover, employees often receive too many answers when they consult this kind of systems and they need to waste time evaluating all of them in order to find that which is most suitable for their necessities. On the other hand, many technical aspects should also be considered when developing a multi-agent system such as what knowledge representation or retrieval technique is going to be used. To find a balance between both aspects is important if we want to develop a successful system. However, developers often focus on technical aspects giving less importance to knowledge issues. In order to avoid this, we have developed a model to help computer science engineers to develop these kinds of systems. In our proposal, first we define a knowledge life cycle model that, according to literature and our experience, ponders all the stages that a knowledge management system should give support to. Later, we describe the technology (software agents) that we recommend to support the activities of each stage. The chapter explains why we consider that software agents are suitable for this end and how they can work in order to reach their goals. Furthermore, a prototype that uses these agents is also described.

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Developing and Maintaining Knowledge Management Systems for Dynamic, Complex Domains

Creating Knowledge Based Organizations ◽

10.4018/978-1-59140-162-9.ch010 ◽

2011 ◽

pp. 203-229 ◽

Cited By ~ 7

Author(s):

Lisa J. Burnell ◽

John W. Priest ◽

John R. Durrett

Keyword(s):

Knowledge Management ◽

Business Processes ◽

Systems Development ◽

Management Systems ◽

Knowledge Management Systems ◽

Agent Architectures ◽

Knowledge Resources ◽

Knowledge Based ◽

Development Processes

An effective knowledge-based organization is one that correctly captures, shares, applies and maintains its knowledge resources to achieve its goals. Knowledge Management Systems (KMS) enable such resources and business processes to be automated and are especially important for environments with dynamic and complex domains. This chapter discusses the appropriate tools, methods, architectural issues and development processes for KMS, including the application of Organizational Theory, knowledge-representation methods and agent architectures. Details for systems development of KMS are provided and illustrated with a case study from the domain of university advising.

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Developing and Maintaining Knowledge Management Systems for Dynamic, Complex Domains

Knowledge Management ◽

10.4018/978-1-59904-933-5.ch049 ◽

2011 ◽

pp. 571-592

Author(s):

Lisa J. Burnell ◽

John W. Priest ◽

John R. Durrett

Keyword(s):

Knowledge Management ◽

Business Processes ◽

Systems Development ◽

Management Systems ◽

Knowledge Management Systems ◽

Agent Architectures ◽

Knowledge Resources ◽

Knowledge Based ◽

Development Processes

An effective knowledge-based organization is one that correctly captures, shares, applies and maintains its knowledge resources to achieve its goals. Knowledge Management Systems (KMS) enable such resources and business processes to be automated and are especially important for environments with dynamic and complex domains. This chapter discusses the appropriate tools, methods, architectural issues and development processes for KMS, including the application of Organizational Theory, knowledge-representation methods and agent architectures. Details for systems development of KMS are provided and illustrated with a case study from the domain of university advising.

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An Agent System to Manage Knowledge in CoPs

Web-Based Learning Solutions for Communities of Practice ◽

10.4018/978-1-60566-711-9.ch016 ◽

2010 ◽

pp. 230-248

Author(s):

Juan Pablo Soto ◽

Aurora Vizcaíno ◽

Javier Portillo-Rodríguez ◽

Mario G. Piattini

Keyword(s):

Knowledge Management ◽

Communities Of Practice ◽

Trust Model ◽

Knowledge Bases ◽

Management Systems ◽

Artificial Agents ◽

Knowledge Management Systems ◽

Agent Architecture ◽

Geographically Distributed ◽

Multi Agent

This paper proposes a multi-agent architecture and a trust model with which to foster the reuse of information in organizations which use knowledge bases or knowledge management systems. The architecture and the model have been designed with the goal of giving support to communities of practices which are a means of sharing knowledge. However, members of these communities are currently often geographically distributed, and less trust therefore exists among members than in traditional co-localizated communities of practice. This situation has led us to propose our trust model, which can be used to calculate what piece of knowledge is more trustworthy. The architecture’s artificial agents will use this model to recommend the most appropriate knowledge to the community’s members.

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UML for Developing Knowledge Management Systems

10.1201/9780203492451 ◽

2005 ◽

Cited By ~ 9

Author(s):

Anthony J. Rhem

Keyword(s):

Knowledge Management ◽

Management Systems ◽

Knowledge Management Systems ◽

Developing Knowledge

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Physicians' Participation in Practice of Knowledge Management Systems

Journal of Information & Knowledge Management ◽

10.1142/s0219649213500123 ◽

2013 ◽

Vol 12 (02) ◽

pp. 1350012 ◽

Cited By ~ 3

Author(s):

Hsien-Cheng Lin ◽

Chen-Wei Yang ◽

Jeng-Yuan Chiou

Keyword(s):

Knowledge Management ◽

Intellectual Capital ◽

Information Quality ◽

Management Systems ◽

Healthcare Organisation ◽

Knowledge Management Systems ◽

System Quality ◽

Is Success ◽

Knowledge Based ◽

Patient Health

Healthcare organisations are knowledge-based establishments. At a healthcare organisation, computer-based information systems (ISs) are powerful tools for improving care using decision support such as patient health data recording, storing, delivery and retrieval. This study investigates the physicians' perspective for the success of ISs, and the relationships between the users' satisfactions and intellectual capital. We adopted a questionnaire survey for the purpose of outcome assessment and the correlations among each dimension, from a sample of 181 physicians in Taiwan's international medical service centres. The results indicate that IS success is significantly related to intellectual capital. With regard to IS quality, system quality has no significant effects on information quality and patients' privacy protection. This research provides empirical evidence to evaluate IS success in healthcare organisations and suggestions for how to promote physicians using knowledge management systems.

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Innovations in Knowledge Management: Applying Modular Design

International Journal of Innovation Science ◽

10.1260/1757-2223.6.2.83 ◽

2014 ◽

Vol 6 (2) ◽

pp. 83-96 ◽

Cited By ~ 3

Author(s):

Fang-wei Zhu ◽

Xiu-xia Sun ◽

Janis Miller ◽

Zhi-jun Deng

Keyword(s):

Knowledge Management ◽

Knowledge Sharing ◽

Modular Design ◽

Management Systems ◽

Design Knowledge ◽

Knowledge Management Systems ◽

Advanced Method ◽

Knowledge Based ◽

Innovative Resources

This article presents an advanced method for managing knowledge using a modular design approach and applied the approach through an example with computer manufacturing. The benefits of modularity are discussed both within and between companies. We find that through modular design, knowledge management systems are simplified and communication between modules is greatly improved. In addition, modularity makes parallel innovation possible, as well as, sharing innovative resources through collaboration. Modularity leads to effective knowledge sharing and thus stimulates knowledge-based innovation. A case study of the computer industry further demonstrates the effects of modularity in an industry. Finally, we suggest that enterprises should take advantage of modularity when they carry out knowledge-based innovation and the measures are developed to implement successful modularity.

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The Impact of Intelligent Interfaces on the Performance of Knowledge Base Systems

IRA-International Journal of Technology & Engineering (ISSN 2455-4480) ◽

10.21013/jte.v4.n2.p1 ◽

2016 ◽

Vol 4 (2) ◽

pp. 84

Author(s):

Abid Thyab Al Ajeeli

Keyword(s):

Knowledge Management ◽

Knowledge Base ◽

Knowledge Bases ◽

Management Systems ◽

Knowledge Management Systems ◽

Knowledge Based ◽

Experimental Systems ◽

Knowledge Base Systems ◽

The Right ◽

The Impact

<div>Although Knowledge is recognized as a strategic force in organizations, knowledge creation and management is not simply the capture and storage of items of information. It requires the storage and processing of associations through which meaning can be derived from the information. Association can be represented in explicit and observable forms in a knowledge base. The paper discusses issues relating to design a better quality interactive interface system for human to have a dialog with the knowledge management systems. At the same time, the paper investigates the ease of evaluation and implementation of a knowledge management system. It performs a major role in providing users with capabilities of dealing with underlying systems. Designing a good interface style using knowledge bases can have a profound effect on the nature of the dialog. Interfacing a knowledge base oriented system can be seen as a dialog between the knowledge base and the user. It plays a major role in providing users with capabilities that deal with underlying systems. Designing a good interface style can have a profound effect on the nature of the dialog. Design of a user interface involves determining approaches in which users interact with the knowledge-based system. The design process, can be complex and multifaceted, begins by identifying system users, through classification of them to understanding their characteristics. The study investigates the improvement of performance by performing an actual study of many experimental systems sufficient to provide judgments for taking the right decision. Results confirm that a good interface has a great impact on the performance of knowledge management systems. </div>

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An Agent System to Manage Knowledge in CoPs

Transdisciplinary Advancements in Cognitive Mechanisms and Human Information Processing ◽

10.4018/978-1-60960-553-7.ch005 ◽

2011 ◽

pp. 80-98

Keyword(s):

Knowledge Management ◽

Communities Of Practice ◽

Trust Model ◽

Knowledge Bases ◽

Management Systems ◽

Artificial Agents ◽

Knowledge Management Systems ◽

Agent Architecture ◽

Geographically Distributed ◽

Multi Agent

This paper proposes a multi-agent architecture and a trust model with which to foster the reuse of information in organizations which use knowledge bases or knowledge management systems. The architecture and the model have been designed with the goal of giving support to communities of practices which are a means of sharing knowledge. However, members of these communities are currently often geographically distributed, and less trust therefore exists among members than in traditional co-localizated communities of practice. This situation has led us to propose our trust model, which can be used to calculate what piece of knowledge is more trustworthy. The architecture’s artificial agents will use this model to recommend the most appropriate knowledge to the community’s members.

Download Full-text