A storage model for large scale web-based learning systems based on concept tree

Abstract

Dues to the electronic resources are stored and edited individually in the web-based distributed environment, how to manage these massive unstructured resources so as to construct an efficient and flexible data environment are the urgent challenges for cooperative applications. Therefore, a storage model of resources management platform is proposed for collaborative editing and learning applications. At first, a logical storage structure based on concept tree is constructed, so as to organizes and manages the electronic resources with association. Then a cloud storage mechanism based on Hash Table aiming at massive resources management is given for storage of distributed resources. At last, a porotype is developed for a web-based learning application. It is shown that the storage model can effectively support large-scale web learning applications.