Intelligent Provision of Semantic Web Services in Educational Systems

The developed adaptation techniques in adaptive educational systems can be quite efficient; however, the systems' learning resources are usually stored in closed environments. This seems insufficient considering that the present-day learning environment encompasses large volumes of data and services on the Web. Our research focuses on the development of open, dynamic and adaptive systems that provide universal access to knowledge. This paper presents a novel unifying architecture for e-learning systems that enables intelligent provision of semantic Web services pertinent to the field of e-learning. The SWEA architecture enables the complete automation of the learning process by using a set of different agent types that perform semantic matchmaking of the required services.