Adding semantic retrieving concept model into the discussion board of learning community by using topic maps

Stephen J.H. Yang, Tiffany C.W. Fan, Irene Y.L. Chen

研究成果: Conference contribution

摘要

The activities in learning community include posting easy questions or complex problems, sharing experiences and knowledge and pedagogical activities, Learners usually post questions when they have problems understanding some concepts. Information is usually accumulated at a rapid pace in learning communities. However, if information is not organized orderly and systematically, it will be difficult for community members and webmasters to find relevant information to browse, to respond to, and to learn. This study proposes the Semantic Retrieving Concept Model (SRCM) which improves the efficiency of searching and learning tasks. When learners need information of certain topics, they simply enter conceptual keyword in the semantic conceptual search textbox. The content-based retrieval mechanism of SRCM will then retrieve the relevant discussion messages and e-contents from the content repositories.

原文English
主出版物標題Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
頁面122-126
頁數5
DOIs
出版狀態Published - 2005 十二月 1
事件5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 - Kaohsiung, Taiwan
持續時間: 2005 七月 52005 七月 8

出版系列

名字Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
2005

Other

Other5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005
國家Taiwan
城市Kaohsiung
期間05-07-0505-07-08

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • 引用此

    Yang, S. J. H., Fan, T. C. W., & Chen, I. Y. L. (2005). Adding semantic retrieving concept model into the discussion board of learning community by using topic maps. 於 Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005 (頁 122-126). [1508626] (Proceedings - 5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005; 卷 2005). https://doi.org/10.1109/ICALT.2005.43