1,721,090 research outputs found
A Network Management System Based on Ontology and Slow Intelligence System
No full textThe last decade has witnessed an intense spread of computer networks that has been further accelerated with the introduction of wireless networks: this growth has increased significantly the problems of network management. Especially in small companies the management of such networks is often complex and faults have significant impacts on their businesses. A possible solution is the adoption of the Simple Network Management Network
administrators can manage network performance, find and solve network problems, and plan for network growth by the use of the SNMP. Over the past years much efforts has been given to make more effective the Simple Network Management Protocol and new approaches has been developed. In particular a promising approach involves the use of Ontology. The ontology based network management has recently evolved from a theoretical proposal to a more mature technology and this is the starting point of this paper where a novel approach to the network management based on the use of the Slow Intelligence System methodologies and Ontology based techniques is proposed. The Slow Intelligence System is a generalpurpose system characterized by being able to improve performance over time through a process involving various phases as enumeration, propagation, adaptation, elimination and concentration. Therefore, the proposed approach aims to develop a system able to acquire, according to the Simple Network Management Protocol, information from the various hosts
that are in the managed networks and apply actions in order to solve problems. To check the feasibility of this approach and its performance an experimental campaign in a real scenario has been designed and the first experimental results in a real scenario are showed
Ontology for E-Learning: A Bayesian Approach
No full textIn the last decade, the evolution of educational technologies has forced an extraordinary interest in new methods for delivering learning content to learners. Today, distance education represents an effective way for supporting and sometimes substituting the traditional formative processes, thanks to the technological improvements achieved in the field in recent years. However, the role of technology has often been overestimated. The amount of information students can obtain from the Internet is huge, and as a result, they can easily be confused. Teachers can also be disconcerted by this vast quantity of content and are often unable to suggest the correct content to their students. In the open scientific literature, it is widely recognized that an important factor for success in delivering learning content is related to the capability for customizing the learning process for the specific needs of a given learner. This task is still far from having been fully accomplished, and there is a real interest in investigating new approaches and tools to adapt the formative process to specific individual needs. In this scenario, the introduction of ontology formalism can improve the quality of the formative process, allowing the introduction of new and effective services. Ontologies can lead to important improvements in the definition of a course’s knowledge domain, in the generation of an adapted learning path, and in the assessment phase. This paper provides an initial discussion of the role of ontologies in the context of e-learning. The improvements related to the introduction of ontologies formalism in the e-learning field are discussed, and a novel algorithm for ontology building through the use of Bayesian networks is shown. Finally, the application of this algorithm in the assessment process and some experimental results are illustrated
Parametri caratteristici di un ambiente per E-Learning:un modello per la loro valutazione
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A Tutoring Tool Based on Bayesian Approach
No full textIn this paper we introduce a tutoring approach for E-Learning formative process. This approach is strictly related to the assessment phase. Assessment in the context of education is the process of characterizing what a student knows. The reasons to perform evaluation are quite varied, ranging from a need to informally understand student learning progress in a course to a need to characterize student expertise in a subject. Finding an appropriate assessment tool is a central challenge in designing a tutoring approach. In this paper we propose a method based on the use of ontologies and their representation through a Bayesian Networks. The aim of our approach is the generation of adapted questionnaires in order to test the student's knowledge of every domain's subject. Analyzing the results of the evaluation an intelligent tutoring system can help students offering an effective support to learning process and adapting their learning paths. © 2006 IEEE
Evaluation Models for E-Learning Platforms and the AHP Approach: a Case Study
No full textOur “information-oriented” society shows an increasing exigency of life-long learning. In such framework, the E-Learning approach is becoming an important tool to allow the flexibility and quality requested by such a kind of learning process. In the recent past, a great number of on-line platforms have been introduced on the market showing different characteristics and services. With a plethora of E-Learning providers and solutions available in the market, there is a new kind of problem faced by organizations consisting in the selection of the most suitable E-Learning suite. This paper proposes a model for describing, characterizing and selecting E-Learning platform. The E-Learning solution selection is a multiple criteria decision-making problem that needs to be addressed objectively taking into consideration the relative weights of the criteria for any organization. We formulate the quoted multi criteria problem as a decision hierarchy to be solved using the Analytic Hierarchy Process (AHP). In this paper we will show the general evaluation strategy and some obtained results using our model to evaluate some existing commercial platforms
E-Learning: An Assessment Tool Based on a Bayesian Approach
No full textAssessment of student learning is an important task in teaching and learning process. It has a strong influence on students' approaches to learning and their outcomes. But what is assessment? Assessment, in the context of education, is the process of characterizing what a student knows. The reasons to perform evaluation are quite varied, ranging from a need to informally understand student learning progress in a course to a need to characterize student expertise in a subject. Finding an appropriate and effective assessment approach is a central challenge in designing a tutoring approach. However, it sometimes happens that the assessment criteria and their corresponding weights are solely determined by the lecturers in charge and on the other hand an effective assessment program is extremely difficult to maintain as class sizes increase. The aim of this paper is the introduction of a tutoring approach based on the assessment results. This strategy is mainly developed for the supporting of the e-Learning formative process. The starting point of the proposed approach is the representation of the course knowledge domain by the use of the ontology formalism. In this way, by an original mapping strategy between ontology and Bayesian Network, we can design a tool for the generation of adapted questionnaires in order to test the student's knwoledge of every domain's subject. Analyzing the obtained results of the evaluation an intelligent tutoring system can help students offering an effective support to learning process and adapting their learning path
The URO Project - A new curriculum to improve the “quality of life” forpeople with URinary incontinence by the use of ICT
No full textICT technologies should be useful tools for the acquisition and the increase of knowledge and skills in the field of medicine. The application of ICT in the health sector could provide a better quality of life to the citizens and an easier job environment for physicians and other health care workers. ICT can be used wherever it has a clear benefit, such as reaching remote populations, offering the tools for building a national health network and providing continuous training for doctors and hospital attendants, sharing knowledge between institutions and countries. In this latter field ICT services, and in particular E-Learning, could allow an effective improvement of training, management and organization of medical staff. So the introduction of e-health (health services and information delivered or enhanced through the Internet and related technologies) represents the promise of information and communication technologies to improve health and the health care system. The Uro project is set in this scenario. In fact it aims to prepare a “new professional”, named Content Therapist, in the area of Urinary Incontinence by integrating specific preparation in the field of urology with disciplines principally concerned with gynecology, obstetrics, physical and rehabilitative medicine, neurology, coloproctology, geriatrics, paediatrics. It is foreseen the extensive use of New Educational Technologies and of E-Learning approach. The main activities are concentrated on the preparation of a curriculum for appropriate studies for the training of human resources, from both Asian and European countries and course material (content definition, teaching tools, production/printing of course material), their dissemination and the demonstration of the realized training services. In particular the target groups are medical attendants of Italy, Slovenia, India and China Hospitals. The project, by means of E-Learning approach and Information Communication Technologies, aims to provide and the test a mechanism for the exchange of information relating to state-of-the-art methodologies and technology in the various components of care and assistance. In this paper we describe the general aims of URO project and the results of the first activities
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