Knowledge Management System for Cluster Development in Small and Medium Enterprises

Many countries such as Canada, Japan, Korea and France gains their competitive advantage through the utilization of clusters development. A cluster contains many Small and Medium Enterprises (SMEs) operating in the same or similar industry strongly connected with each other to produce good and services.,In developing country , especially, Small and Medium Enterprises (SMEs) take very important role to their economic. Most governments, as facilitator, support cluster through initiate help and encourage SMEs' linkage to reach the concept of industry cluster. Many literature reviewed claimed that the most difficult processes in creating a cluster is the development and sustain the collaboration to connect these SMEs together. After some investigation, the problem of creating SMEs connection is information sharing at micro-economic level.. Knowledge sharing is one of the most important key success factors of cluster management to gain collaboration among SMEs since there are abundant of explicit and tacit knowledge within each SMEs in a cluster. Naturally, most firms do not want to share their business information and knowledge. In reality, however they needs these information to successfully manage their business cluster. It is crucial and necessary we find out what kind of information or knowledge they want to know and shareable among them in order to manage cluster successfully. Many operation management techniques already existed in many firms. One of the ways to help knowledge sharing operate successfully using information technology as a tool is directed to Knowledge Management System (KMS). This methods can help facilitate the communication and information flow and needs to be investigated further to help maintain the cluster collaboration and knowledge sharing.. This paper propose framework and methodology for analyzing, industry cluster for the sustain the lifecycle of cluster.

Factors shaping the evolution of electronic documentation systems

The main goal is to prepare the space station technical and managerial structure for likely changes in the creation, capture, transfer, and utilization of knowledge. By anticipating advances, the design of Space Station Project (SSP) information systems can be tailored to facilitate a progression of increasingly sophisticated strategies as the space station evolves. Future generations of advanced information systems will use increases in power to deliver environmentally meaningful, contextually targeted, interconnected data (knowledge). The concept of a Knowledge Base Management System is emerging when the problem is focused on how information systems can perform such a conversion of raw data. Such a system would include traditional management functions for large space databases. Added artificial intelligence features might encompass co-existing knowledge representation schemes; effective control structures for deductive, plausible, and inductive reasoning; means for knowledge acquisition, refinement, and validation; explanation facilities; and dynamic human intervention. The major areas covered include: alternative knowledge representation approaches; advanced user interface capabilities; computer-supported cooperative work; the evolution of information system hardware; standardization, compatibility, and connectivity; and organizational impacts of information intensive environments

Technology Options to Support the Implementation of Knowledge Management

Company is more aware that knowledge management is one of the important factors because it gives competitive advantages for them. Knowledge is intellectual asset that is owned by individual or company. Knowledge becomes very useful if it is documented or stored, organized, shared to others and can be understood and applied. Knowledge Management System (KMS) is made to manage knowledge. KMS does identifying process, capturing, organizing and disseminating knowledge. Technology is one of three model of KM that supports the implementation of KM. This time there are various options of technology that support the KM implementation for companies. In this research, there are various options or types of technology that can be used to support the implementation of knowledge management

RECONCILING KNOWLEGDE MANAGEMENT AND E-COLLABORATION SYSTEMS: THE INFORMATION-DRIVEN KNOWLEDGE MANAGEMENT FRAMEWORK

In recent years, e-collaboration systems have emerged as an essential enabler of communication and collaboration between enterprises. Current trends in the area of e-collaboration emphasize the importance of effective collaborative knowledge management support in e-collaboration systems. Our research aims at proposing an intelligent infrastructure for the reconciliation of knowledge management and e-collaboration systems. The objective of the paper is to introduce a conceptual framework for designing and building the new infrastructure that supports specific characteristics of collaborative knowledge management in e-collaboration systems. The paper articulates how this framework enables efficient knowledge exploration and exploitation, before concluding with implications and recommendations for future developments in this area

SWA-KMDLS: An Enhanced e-Learning Management System Using Semantic Web and Knowledge Management Technology

In this era of knowledge economy in which knowledge have become the most precious resource, surveys have shown that e-Learning has been on the increasing trend in various organizations including, among others, education and corporate. The use of e-Learning is not only aim to acquire knowledge but also to maintain competitiveness and advantages for individuals or organizations. However, the early promise of e-Learning has yet to be fully realized, as it has been no more than a handout being published online, coupled with simple multiple-choice quizzes. The emerging of e-Learning 2.0 that is empowered by Web 2.0 technology still hardly overcome common problem such as information overload and poor content aggregation in a highly increasing number of learning objects in an e-Learning Management System (LMS) environment. The aim of this research study is to exploit the Semantic Web (SW) and Knowledge Management (KM) technology; the two emerging and promising technology to enhance the existing LMS. The proposed system is named as Semantic Web Aware-Knowledge Management Driven e-Learning System (SWA-KMDLS). An Ontology approach that is the backbone of SW and KM is introduced for managing knowledge especially from learning object and developing automated question answering system (Aquas) with expert locator in SWA-KMDLS. The METHONTOLOGY methodology is selected to develop the Ontology in this research work. The potential of SW and KM technology is identified in this research finding which will benefit e-Learning developer to develop e-Learning system especially with social constructivist pedagogical approach from the point of view of KM framework and SW environment. The (semi-) automatic ontological knowledge base construction system (SAOKBCS) has contributed to knowledge extraction from learning object semiautomatically whilst the Aquas with expert locator has facilitated knowledge retrieval that encourages knowledge sharing in e-Learning environment. The experiment conducted has shown that the SAOKBCS can extract concept that is the main component of Ontology from text learning object with precision of 86.67%, thus saving the expert time and effort to build Ontology manually. Additionally the experiment on Aquas has shown that more than 80% of users are satisfied with answers provided by the system. The expert locator framework can also improve the performance of Aquas in the future usage. Keywords: semantic web aware – knowledge e-Learning Management System (SWAKMDLS), semi-automatic ontological knowledge base construction system (SAOKBCS), automated question answering system (Aquas), Ontology, expert locator

HIPPO -- an adaptive open hyptertext system

The hypertext paradigm offers a powerful way of modelling complex knowledge structures. Information can be arranged into networks, and connected using hypertext links. This has led to the development of more open hypertext design, which allow hypertext services to be integrated seamlessly into the user's environment. Recent research has also seen the emergence of adaptive hypertext, which uses feedback from the user to modify objects in the hypertext. The research presented in this thesis describes the HIPPO hypertext model which combines many of the ideas in open hypertext research, with existing work on adaptive hypertext systems. The idea of fuzzy anchors are introduced which allow authors to express the uncertainty and vagueness which is inherent in a hypertext anchor. Fuzzy anchors use partial truth values which allow authors to define a "degree of membership" for anchors. Anchors no longer have fixed, discrete boundaries, but have more in common with contour lines used in map design. These fuzzy anchors are used as the basis for an adaptive model, so that anchors can be modified in response to user actions. The HIPPO linking model introduces linkbase trees which combine link collections into inheritance hierarchies. These are used to construct reusable inheritance trees, which allow authors to reuse and build on existing link collections. An adaptive model is also presented to modify these linkbase hierarchies. Finally, the HIPPO system is re-implemented using a widely distributed architecture. This distributed model implements a hypertext system as a collection of lightweight, distributed services. The benefits of this distributed hypertext model are discussed, and an adaptive model is then suggested