Paper Title:
Study on Knowledge Base Construction for the Network Teaching Resource Based on Semantic Web
  Abstract

Intelligent teaching system design has become an active research topic in education research community. How to manage the network teaching resource efficiently will have a direct impact on the teaching process and quality in the network teaching system. The semantic web can be a very promising platform for knowledge management systems in the intelligent teaching system design. In this paper, we have presented a framework for the network teaching resource knowledge base (NTRKB) based on semantic web, which includes network teaching resource knowledge representation, regular relation definition based on OWL, knowledge base modeling and construction based on RDF. The NTRKB can achieve knowledge sharing and intelligent retrieval for the network teaching resource, and these components will greatly benefit the development of the proposed intelligent teaching system.

  Info
Periodical
Edited by
Kai Cheng, Yongxian Liu, Xipeng Xu and Hualong Xie
Pages
758-763
DOI
10.4028/www.scientific.net/AMM.16-19.758
Citation
J. H. Gan, L. Y. Yuan, "Study on Knowledge Base Construction for the Network Teaching Resource Based on Semantic Web", Applied Mechanics and Materials, Vols. 16-19, pp. 758-763, 2009
Online since
October 2009
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Zhi Hai Liu, Qing Liang Zeng, Cheng Long Wang, Yu Shan Li
Abstract:The technologies of expert system, ontology modeling and reasoning are studied and applied in this paper. A framework of ontology-based...
117
Authors: J. Sun, Wei Guo, Lei Wang, D.M. Zhang
IV. Modern Design Theory and Methodology
Abstract:According to the diversity, dynamic and correlation of product design knowledge; this paper put forward a knowledge representation method for...
774
Authors: Jie Chen
Chapter 3: Other
Abstract:In this paper, we concentrate on the ontology-Based design knowledge modeling technologies for the construction machinery. For that, we study...
382
Authors: Ying Zhang, Gui Fen Chen
Chapter 4: Data, Image and Signal Processing
Abstract:The knowledge representation of the traditional artificial intelligence used different modeling methods and the different development tools,...
441
Authors: Yang Zhou, Zhao Yang Zeng, Bin Tian, Zhi Yu Jia, Xiao Guo
Chapter 2: Manufacturing and Control Systems, Industry Application
Abstract:With consideration of the actual requirement of fault knowledge management in current aviation maintenance, ontology-based knowledge...
350