Information portal of E-learning system in Semantic Web environment

Author(s):  
Taras Lendyuk ◽  
Sergey Rippa
2010 ◽  
Vol 8 (14) ◽  
pp. 21-25 ◽  
Author(s):  
S.Muthu lakshmi ◽  
G.V. Uma

Author(s):  
Reshmy Krishnan

Number of mobile subscriptions has increased tremendously due to rapid development of mobile technologies. The performance and accessibility of the e-learning process can be enhanced through mobile devices which is called m-learning. M-learning makes learning resources available anywhere and anytime, provide strong search capabilities, and offers easy interaction features to the learners. M-learning also points the opportunity for interoperability than existing e-learning system. The integration of semantic web in m-learning can improve the efficiency of searching for learning objects and reduce the time and cost of learning process. Semantic web can be integrated with the help of ontologies and learning objects in semantic web. They offer rich medium to assist m-learning via semantic annotated learning objects and shared repositories. Two types of ontologies, such as learning object content ontology and learning object structure ontology are used in this system. These ontologies facilitate the reuse, sharing and retrieval of relevant learning objects which are the backbone of m-learning.


2010 ◽  
pp. 120-145
Author(s):  
Gianluca Elia ◽  
Giustina Secundo ◽  
Cesare Taurino

This chapter presents a prototypal e-learning system based on the Semantic Web paradigm, called SWELS (Semantic Web E-Learning System). The chapter starts by introducing e-learning as an efficient and just-in-time tool supporting the learning processes. Then a brief description of the evolution of distance learning technologies will be provided, starting from first generation e-learning systems through the current Virtual Learning Environments and Managed Learning Environments, by underling the main differences between them and the need to introduce standards for e-learning with which to manage and overcome problems related to learning content personalization and updating. Furthermore, some limits of the traditional approaches and technologies for e-learning will be provided, by proposing the Semantic Web as an efficient and effective tool for implementing new generation e-Learning systems. In the last section of the chapter, the SWELS system is proposed by describing the methodology adopted for organizing and modeling its knowledge base, by illustrating its main functionalities, and by providing the design of the tool followed by the implementation choices. Finally, future developments of SWELS will be presented, together with some remarks regarding the benefits for the final user in using such system.


Author(s):  
WenYing Guo

Selecting appropriate learning services for a learner from a large number of heterogeneous knowledge sources is a complex and challenging task. This chapter illustrates and discusses how Semantic Web technologies can be applied to e-learning system to help learner in selecting appropriate learning course or retrieving relevant information. It firstly presents the main features of e-learning scenario and the ontology on which it is based; then illustrates the scenario ontology with the training domain and the application domain. Finally, it presents Semantic Querying and Semantic Mapping approach.


2006 ◽  
Vol 2 (8) ◽  
pp. 619-626 ◽  
Author(s):  
Fayed F. M. Ghaleb ◽  
Sameh S. Daoud ◽  
Ahmad M. Hasna ◽  
Jihad M. Jaam ◽  
Hosam F. El-Sofany

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