A Performance Study of Learning Content Retrieval on Hadoop Cloud Environments

摘要：

Content retrieval is important for the development of e-learning applications. However, existing information retrieval techniques focus on keyword-level processing, rarely considering metadata, structural information and semantics of contents. In fact, content retrieval can increase learning performance by supporting pedagogical theories and models, such as instructional strategies, learning styles, etc. Recently, cloud computing attracts a lot of attention from stakeholders of e-learning. It is promising to share learning content on cloud environments. Therefore, the architecture of a learning content retrieval system is proposed to use cloud computing technologies to store learning content and to support efficient content retrieval. To evaluate the performance of index creation, a cloud test-bed is built using Hadoop, which is an open source implementation of cloud-related technologies. The results of evaluation show that the execution time of index creation is scalable to the size of databases.

关键词： e-Learning content retrieval ontology cloud computing Hadoop Mapreduce

作者: Wenchung Shih Shianshyong Tseng Chaotung Yang

作者单位: Department of Information Science and Applications, Asia University, Taichung Department of Computer Science and Information Engineering, Tunghai University, Taichung

会议类型: 国际会议

会议名称: 2010 Cross-Strait Conference on Information Science and Technology(2010 海峡两岸信息科学与技术学术交流会)

会议地点: 秦皇岛

会议语种:英文

页码: 485-488

在线出版日期: 2010-07-09（万方平台首次上网日期，不代表论文的发表时间）