Association link network: an incremental web resources link model for learning resources management

  • Authors:
  • Hongming Zhu;Xiangfeng Luo;Zheng Xu;Jun Zhang

  • Affiliations:
  • School of Computing Engineering and Science, Shanghai University, Shanghai, P.R. China;School of Computing Engineering and Science, Shanghai University, Shanghai, P.R. China;School of Computing Engineering and Science, Shanghai University, Shanghai, P.R. China;School of Computing Engineering and Science, Shanghai University, Shanghai, P.R. China

  • Venue:
  • ICWL'11 Proceedings of the 10th international conference on Advances in Web-Based Learning
  • Year:
  • 2011

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Abstract

Association Link Network (ALN) is proposed to establish association relations among Web resources, aiming at extending the hyperlink-based Web to an association-rich network and effectively supporting Web intelligence activities, such as Web-based learning. However, it is difficult to build the ALN one-off by direct computing since the huge number and quickly increasing learning resources on the Web. Thus, how to rapidly and accurately acquire the association relations between the new coming and existing learning resources has become a challenge in the incrementally building process of ALN. In this paper, a new algorithm is developed for incrementally updating ALN to cater for the dynamic management of learning resources increasing with time.