Organizational knowledge resources typically exist in specialized pockets scattered across the firm. As distributed knowledge systems, firms’ capacity to manage their knowledge resources is linked with their ability to integrate these pockets of specialized knowledge. Firms are increasingly depending on teams to strategically consolidate their dispersed knowledge into productive outcomes. Teams...

This paper outlines a causal reasoning chain approach of a Knowledge Based System architecture for medical applications. It is examined within the context of a fetal health decision support system module to provide diagnosis of pregnancy-induced hypertension, or pre-eclampsia. A simplified example is presented to illustrate our approach.

Interest is growing in the application of Knowledge Based Expert Systems ( KBES ) to assist in solving problems in the construction discipline. A number of major research and / or development projects are under way in various US institutions, however, as of the summer of1985, the number was small considering the potential of this new technology .'. A few of the larger design and construction co...

The use of Knowledge-Based Systems (KBS) in Power System Control Centres is today recognised as a good way to provide Control Center operators with decision support tools. Power Systems can be considered as an important field of application of Knowledge-Based Systems not only because of the high number of applications but also because of the challenge that Power System application usually repre...

Research Article Ing-Long Wu National Chung Cheng University [email protected] Ya-Ping Hu National Chung Cheng University [email protected] Healthcare organizations are essentially associated with highly knowledge-intensive property, and hospital professionals are key to providing high-quality care to patients. KM-enabled performance for hospital professionals is the major concern of se...

The paper describes a knowledge based system for analysis of microscopic wear particles. Wear particles contained in lubricating oil carry important information concerning machine condition, in particular the state of wear. Experts (Tribologists) in the field extract this information to monitor the operation of the machine and ensure safety, efficiency, quality, productivity, and economy of ope...

This paper presents an integrated knowledge-based system, which combines fuzzy rule-based reasoning with case-based reasoning, for turbomachinery diagnosis. By incorporating a casebased reasoning sub-system in a fuzzy rule-based system, the integrated system allows past experience to be applied in a more direct way. This helps improve the diagnostic accuracy of the rulebased system. This approa...

Two important computational approaches to problem solving are model-based reasoning (MBR) and case-based reasoning (CBR). MBR, since it reasons from first principles, is especially suited for solving novel problems. CBR, since it reasons from previous experience, is especially suited for solving frequently encountered problems. However, large novel problems pose difficulties for both approaches...

The large extent and complexity of scientific evidence described in the concept of evidence-based medicine often overwhelms clinicians who want to apply best external evidence. Hospital Information Systems usually do not provide knowledge-based functions to support context-sensitive linking to external information sources. Knowledge-based components need specific data, which must be entered man...