Autor/Autorin: Dara Suresh
Suresh Dara, currently working as a Professor/CSE, B V Raju Institute of Technology, Narsapur, Medak, India. He completed his Ph.D. from IIT(ISM) Dhanbad in 2005. He has published many research articles in reputed indexed journals. His current research interests are Machine Learning, Data Science, Deep Learning, and emerging Prog.. Technologies.
This book presenting a frame work on an e-learning model on web based technology with reference to content management system. Traditional LMS failed in providing the better services, does not support personalization and lack of interoperability between the users and machines. So there is a huge demand for Enhanced Learning Management Systems (ELMS) to provide the improvised services with better interoperability. In terms of semantic web, inference engines are identified as the better mechanisms for interoperability. This research, propose a framework for Enhanced Learning Management Systems (ELMS) with support of a sematic web technologies and inference engine. It has been observed that, as compared to the traditional learning management systems our proposed framework is improvised the performance in terms of better understandability and efficient management of content.
Dara, SureshnSuresh Dara, currently working as a Professor/CSE, B V Raju Institute of Technology, Narsapur, Medak, India. He completed his Ph.D. from IIT(ISM) Dhanbad in 2005. He has published many research articles in reputed indexed journals. His current research interests are Machine Learning, Data Science, Deep Learning, and emerging Prog.. Technologies.
Über den Autor
Suresh Dara, actualmente trabaja como profesor/CSE, en el Instituto de Tecnología B V Raju, Narsapur, Medak, India. Completó su doctorado en el IIT (ISM) de Dhanbad en 2005. Ha publicado numerosos artículos de investigación en reputadas revistas indexadas. Sus intereses de investigación actuales son el aprendizaje automático, la ciencia de los datos, el aprendizaje profundo y las tecnologías emergentes. Tecnologías.
Klappentext
This book presenting a frame work on an e-learning model on web based technology with reference to content management system. Traditional LMS failed in providing the better services, does not support personalization and lack of interoperability between the users and machines. So there is a huge demand for Enhanced Learning Management Systems (ELMS) to provide the improvised services with better interoperability. In terms of semantic web, inference engines are identified as the better mechanisms for interoperability. This research, propose a framework for Enhanced Learning Management Systems (ELMS) with support of a sematic web technologies and inference engine. It has been observed that, as compared to the traditional learning management systems our proposed framework is improvised the performance in terms of better understandability and efficient management of content.
