The Relationship between Fuzzy Reasoning and Its Temporal Characteristics for Knowledge Management

The knowledge management systems based on artificial reasoning (KMAR) tries to provide computers the capabilities of performing various intelligent tasks for which their human users resort to their knowledge and collective intelligence. There is a need for incorporating aspects of time and imprecision into knowledge management systems, considering appropriate semantic foundations. The aim of this paper is to present the FRTES, a real-time fuzzy expert system, embedded in a knowledge management system. Our expert system is a special possibilistic expert system, developed in order to focus on fuzzy knowledge.Knowledge Management, Artificial Reasoning, predictability

The Management of Debris Flow in Disaster Prevention using an Ontology-based Knowledge Management System

In recently years, the government, academia and business have applied different information technologies to disaster prevention and diverse web sites have been developed. Although these web sites provide a large number of data about disaster-prevention, they are knowledge poor in nature. Furthermore, disaster-prevention is a knowledge-intensive task and a potential knowledge management system can overcome the shortcoming of knowledge poor. On the other hand, ontology design plays the key role toward designing a successful knowledge management system. In this paper, we introduce a three-stage life cycle for ontology design for supporting the service of disaster prevention of debris flow and propose a framework of an ontology-based knowledge management system with the KAON API environment. In addition, by appealing to the technology of component reuse, the system is developed at lower cost thus knowledge workers can focus on the design of ontology and knowledge objects. The objectives of the proposed system is to facilitate knowledge accumulation, knowledge reuse and dissemination for the management of disaster prevention. This work is expected to enable the promotion of the traditional disaster management of debris flow towards the so-called knowledge-driven decision support services

Knowledge management system for efficient use of modern rural energy services (MRES) in Thailand

In Thailand, the purpose of the Modern Rural Energy Service (MRES) projects is to improve the quality of life and elevation of economic advantages in rural areas (Ketjoy et al, 2004 and CASE, 2001). However, there exist many practical problems that hinder the success of the projects. Examples of the reasons are - high turnover of experts and specialists; lack of in depth knowledge on the system among the local users; high cost of the system, tools and equipment; and limited budget for planning, research and development. In order to overcome the above issues, Knowledge Management System (KMS) has been identified as a viable solution. Regarding the advance development on information and communication technology (ICT), the integration of knowledge management and Web technologies has been established as an invaluable tool. The combination has the potential to assist the promotion of knowledge management and related activities thereby enabling the acquisition of diverse types of information and data (Tiwana & Ramesh, 2001). The proposed research is to develop a KM platform based on Web technologies that will be a channel used by the stakeholders for the gathering, sharing, extraction and dissemination of knowledge about the MRES. Examples of the system functions will be - checking the type of renewable energy resources around local area; teaching of MRES development and maintenance processes; comparison for suitable MRES according to the users’ location; forums, and FAQ’s; sharing of best practices and discussion with experts…etc. The expected users and contributors to this system are the relevant government departments including the Provincial Electricity Authority (PEA), Solar Energy Research and Training Centre (SERT) and local administrators. This paper will present the overview of proposed research, important features, the prototype, functionalities and significant contributions. A case study based on this prototype will be implemented and studied at SERT at the later part of the study

Cerebral Palsy Web Portal

Cerebral Palsy (CP) patients suffer physical impairment that results in the need of being dependent to the parents or guardian in performing their daily life. However, the condition of CP patient can be improvised and trained to lead their life independently with the right knowledge about the treatment and ways of handling and taking care of a CP patient. Therefore, the project, namely, Cerebral Palsy (CP) Web Portal is developed with the main objective of establishing a platform of knowledge sharing in order to encourage the CP community in Pusat Pemulihan Sultan Azlan Shah to communicate with each other more frequently so that the necessary and essential knowledge can be transmitted successfully. The interactive features of the web portal which includes forum, chat room and video gallery will be the main tools in serving the purpose of knowledge sharing between the members of the community. In conclusion, the existence of CP Web Portal can assist in bridging the communication gap and enhancing\ud knowledge sharing culture within its members

The Relationship between Fuzzy Reasoning and its Temporal Characteristics for Knowledge Management Systems

The knowledge management systems based on artificial reasoning (KMAR) tries to provide computers the capabilities of performing various intelligent tasks for which their human users resort to their knowledge and collective intelligence. There is a need for incorporating aspects of time and imprecision into knowledge management systems, considering appropriate semantic foundations. The aim of this paper is to present the FRTES, a real-time fuzzy expert system, embedded in a knowledge management system. Our expert system is a special possibilistic expert system, developed in order to focus on fuzzy knowledge

Knowledge Management and the Development of Maritime Research Institutes

Abstract This study first reviews the structures and services of several leading maritime research institutions and then employs the knowledge management model to assess the performance of the existing maritime research institutes in Taiwan. Maritime research institutions(MRI) in Taiwan belong to one of the following three types of organization: a government-supported organization, a non-profit corporation (NPC), and a private consulting firm. Finally, based on a comprehensive questionnaire survey and post-survey interviews with shipping professionals, the best type of maritime research organization is proposed. This study employs the AHP (Analytic Hierarchy Process) technique to propose and develop an appropriate type of maritime research institution in Taiwan. However, a maritime research institution cannot perform well without an appropriate knowledge management structure. Thus, this research aims to evaluate the performance differences between three types of maritime research institutions. The hierarchical structure is composed of three major criteria: knowledge creation, knowledge storage, and knowledge application. These three major criteria comprise nine sub-criteria: data collection, data mining, knowledge collaboration, data security, data integration, data transfer, information sharing and exchange, advisory planning, and innovation promotion. Using these nine sub-criteria the 30 surveyees were asked to evaluate the performance of the three types of shipping research institutions. The authors found non-profit corporations have the highest overall performance, followed by private consulting firms and lastly, government agencies. The research findings could be used as a road map if a new maritime research institution has to be developed in the fast growing maritime economics. These findings can also be used by the extant maritime research organizations to improve their performance on those sub-criteria and criteria with the greater degree of importance

Gaps in knowledge management systems: a bibliographical review

The importance of knowledge as a sustainable competitive advantage and the increasing development of information technology (IT) have led to knowledge management systems (KMS), facilitating and encouraging the processes of generation, codification and transfer of knowledge in organizations. The interest of professionals, academics and researchers has been growing for several years, to the point that it can be stated that knowledge management is a topic on the rise. Nonetheless, if we review their status in organizations, there are great difficulties in their implementation, difficulties that cover various aspects. Through a review of the literature, this paper explores the present gaps in the implementation of KMS. The results reflect the dominance of a reductionist approach in this area, with a focus on IT, revealing the need for a holistic approach, guided by what makes sense in the organization

Cerebral Palsy Web Portal

Cerebral Palsy (CP) patients suffer physical impairment that results in the need of being dependent to the parents or guardian in performing their daily life. However, the condition of CP patient can be improvised and trained to lead their life independently with the right knowledge about the treatment and ways of handling and taking care of a CP patient. Therefore, the project, namely, Cerebral Palsy (CP) Web Portal is developed with the main objective of establishing a platform of knowledge sharing in order to encourage the CP community in Pusat Pemulihan Sultan Azlan Shah to communicate with each other more frequently so that the necessary and essential knowledge can be transmitted successfully. The interactive features of the web portal which includes forum, chat room and video gallery will be the main tools in serving the purpose of knowledge sharing between the members of the community. In conclusion, the existence of CP Web Portal can assist in bridging the communication gap and enhancing knowledge sharing culture within its members

The Impact of Team Learning Climate on Innovation Performance – Mediating role of knowledge integration capability

To address the fierce competition for corporate innovation in the digital economy, this study introduces knowledge integration capability as a mediating variable in light of social information processing theory, and explores the mechanism of team learning climate on innovation performance. Data were collected from a sample of 184 team members for statistical analysis, and Statistical methods such as descriptive statistical analysis, correlation analysis, and regression analysis were used to verify the study hypotheses through SPSS and Amos software, and the results showed that: (1) Team learning climate has a significant positive effect on knowledge integration capability. (2) Team learning climate has a significant positive effect on innovation performance. (3) Knowledge integration capability has a significant positive effect on innovation performance. (4) Knowledge integration capability partially mediates the role between team learning climate and innovation performance. The results proved the perspective of knowledge integration capability for the mechanism of team learning climate on innovation performance from the perspective of knowledge integration capability, and provided theoretical references for creating a learning climate in companies to promote members’ knowledge learning and enhance innovation performance