Getting started on a new knowledge engineering project is a difficult and challenging task, even for those who have done it before. For those who haven’t, the task can often prove impossible. One reason is that the requirementsoriented methods and intuitions learned in the development of other types of software do not carry over well to the knowledge engineering task. Another reason is that met...

The role of knowledge management is to assure competitiveness, through capturing, storing, sharing, and utilizing knowledge in an innovative way. In this paper, discusses the role of knowledge management from the perception of application features and benefits. Knowledge management is a new field and experiments are just beginning in school. We believe there is tremendous value to school instit...

In knowledge engineering research the refinement of manually developed intelligent systems is still one of the key issues. Since scoring rules are an intuitive and easy to implement knowledge representation they are suitable for the manual development of knowledge bases. In this paper, we present a conservative and a creative strategy for the refinement of scoring rule bases adapting existing r...

A knowledge based system to identify 10 main metabolic alterations in university students based on clinical and anthropometric parameters is presented. Knowledge engineering was carried out through unstructured expert interviews methodology, resulting in a knowledge base of 17 IF-THEN rules. A backward chaining machine engine was built in Prolog language; the attribute-values database about par...

Building knowledge intensive Case-Based Reasoning applications requires tools that support this on-going process between domain experts and knowledge engineers. In this paper we will introduce how the open source tool myCBR 3 allows for flexible knowledge elicitation and formalisation form CBR and non CBR experts. We detail on myCBR 3 ’s versatile approach to similarity modelling and will give ...

KL-ONE is o system for representing knowledge in Artificial Intelligence progroms. It has been developed and refined over o long period ond hos been used in both basic research and implemented knowledge-based systems in o number of places in the Al community. Here we present the kernel ideas of KL-ONE, emphasizing its ability to form complex structured descriptions. In oddition to detoiling oil...

The paper aims to present research results on using Web 2.0 tools for learning personalisation. In the work, personalised Web 2.0 tools selection method is presented. This method takes into account student’s learning preferences for content and communication modes tailored to the learning activities with a view to help the learner to quickly and accurately find the right educational tools, and ...

Building a new GIS project is a major investment. Choosing the right GIS software package is critical to the success and failure of such investment. Because of the complexity of the problem a number of decision making tools must be deployed to arrive at the proper solution. In this study a new decision making approach for solving GIS software selection problem was proposed by integrating Expert...

What is the nature of the problem domains in which expert systems are likely to succeed and those in which they will not? Are there domains in which their use might be dangerous? How will their performance compare with that of human experts in the domain? Are there different facets of expertise that are not amenable to programming? How can human and machine expertise best be combined? To what e...

Purpose – The purpose of this research is to investigate knowledge management in the textile industry specifically through the relationships and interconnections of knowledge management systems, strategy and firm performance across the value chain. Design/methodology/approach – This research examines the process of acquisition, retention, maintenance, and retrieval of knowledge both within the ...