Heterogeneous Learning Resources Integration and Cross-Database Retrieval

Abstract

With the rapid development of information technology, network learning resources are becoming more and more abundant. The increasingly large learning resources satisfy people's need for information. However due to the diversity and heterogeneity of the repositories, it is a challenge to integrate the learning resources to provide users with a unified retrieval. This paper proposes an architecture and implementation scheme for heterogeneous learning resource databases fusing based on meta-data mapping. The system integrates multiple databases and enables transparent access to repositories. The scheme mainly includes data element mapping mechanism, cross indexing mechanism, cross-database retrieval mechanism, and results filtering mechanism.