Metadata as seeds for building an ontology driven information retrieval system

作     者：Zhuhadar, Leyla Nasraoui, Olfa Wyatt, Robert Romero, Elizabeth 

作者机构：Knowledge Discovery and Web Mining Lab Department of Computer Engineering and Computer Science University of Louisville KY 40292 USA Office of Distance Learning Division of Extended Learning and Outreach Western Kentucky University KY 42101 USA 

出 版 物：《International Journal of Hybrid Intelligent Systems》 

年 卷 期：2009年第6卷第3期

页      面：169-186页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：knowledge engineering ontology semantic web information retrieval E-learning 

摘      要：This paper presents an approach for an automated discovery, categorization and retrieval of metadata enriched E-learning resources. This research has further been implemented on a real platform HyperManyMedia at Western Kentucky University. It also presents the contribution that this work has made to the Adaptive Hypermedia systems. The main research question guiding this work is whether it is feasible and benecial to add the metadata to learning resources, while still being able to retrieve learning resources that are satisfactory and effective for the learner. The main goals of our HyperManyMedia system as implementation based on the suggested architecture, are to: (1) provide the learner with metadata search engine to overcome the limitations of searching for learning objects, and (2) be an open source repository for online learning. [ABSTRACT FROM AUTHOR]