Mediated Competency Comparison between Job Descriptions and University Courses
In order to establish and maintain IT empowered cooperation between universities and industrial organizations; on the one hand universities should be informed about trends in the labour market, and on the other hand industrial organizations should have an insight into trends of knowledge development in universities. Furthermore, taking into consideration that a competency is becoming a kind of "currency" in the labour market, there is a need to compare competency demand from the industrial organizations and competency offer from the universities in order to see if the university can satisfy competency needs of industrial organizations. The use of competency frameworks and mappings between competency frameworks can facilitate information exchange about the competencies. The paper describes the method and the prototype for mediated competency comparison with respect to job descriptions and university courses. The prototype conforms to the architecture of collaboration support system and its services that have been designed with the purpose to maintain and exchange information between universities and industrial organizations.
Interactive Inductive Learning: Application in Domain of Education
globalization presents an opportunity to obtain education from several education providers by using different study exchange programmes. This possibility, in turn, creates the need to compare available study courses in foreign institutions to courses on the curriculum of the institution which issues the degree. Manual course comparision is time consuming and requires involvment of highly skilled experts. Otherwise, the comparison may result in a superficial intuitive judgement and, consequently, course incompatibility problems. Interactive inductive learning supported by enterprise modelling is proposed as a supporting mechanism which can help to save the time an effort in study course comparison.
Towards Narrowing a Conceptual Gap between IT Industry and University
The situation when the number of the students and the popularity of the engineering education in general and IT education in particular is not increasing dramatically due to the fact that there exists an opinion that engineering education is complex and time-consuming from one side and that the graduates are not sufficiently prepared for the industry from another, requires the University to perform a series of actions that can improve the current situation. One of the areas for improvement is the quality of the study programs in the sense of their suitability to ‘customers’, namely Students and Industry. Previous research shows that the knowledge requirements monitoring system and the processes behind it can improve the quality of the study programs, e.g. the results of the Value Network Analysis demonstrate that the Monitoring System can give additional value to both the University and the Industry. Developing a monitoring system prototype requires narrowing the gap between industry and university and introduces new ways of industry-university cooperation.
Recent years have witnessed significant progress of workflow systems in different business areas. However, in the medical domain, the workflow systems are comparatively scarcely researched. In the medical domain, the workflows are as important as in other areas. In fact, the flow of information in the healthcare industry is even more critical than it is in other industries. Workflow can provide a new way of looking at how processes and procedures are completed in particular medical systems, and it can help improve the decision-making in these systems. Despite potential capabilities of workflow systems, medical systems still often perceive critical challenges in maintaining patient medical information that results in the difficulties in accessing patient data by different systems. In this paper, a new cloud-based service-oriented architecture is proposed. This architecture will support a medical workflow system integrated with cloud services aligned with medical standards to improve the healthcare system.
The Internet of Things (IoT), a global Internet-based system of computing devices and machines, is one of the most significant trends in the information technology area. An accepted unified communication approach would be a prerequisite for its mass adoption. Semantic technologies (Semantic Web) have been advocated as enablers of unified communication. However, while there are particular advancements in research on application of Semantic Web in the IoT domain, the dynamic and complex nature of the IoT often requires case specific solutions hard to be applied widely. In the present survey, the semantic technology challenges in the IoT domain are amalgamated to provide background for further studies in the use of semantic technologies in the IoT.
Virtualization has enabled the commoditization of cloud computing, as the hardware resources have become available to run different environments and share computing resources amongst different enterprises. Two technology types are commonly used in virtualization of hardware, namely, hypervisor and container. The present paper concerns only container technologies.
A comprehensive overview of the container technologies for virtualization and the dynamics of their popularity have not been available yet. Without such an overview, the informed fast choice of technologies is hindered. To fill this knowledge gap, a systemic literature review was conducted to reveal the most popular container technologies and the trends in their research.