English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6491/11663
Visitors : 24740521      Online Users : 47
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/1846

Title: “Ontology enabled annotation and knowledge management for collaborative learning in virtual learning community,”
Authors: Yang, S.J.H.;Chen, I.Y.L.;Shao, N.W.Y.
Contributors: 會計學系
Keywords: Ontology
semantic web services
collaborative learning
Date: 2004
Issue Date: 2010-11-15T07:22:33Z
Abstract: The nature of collaborative learning involves intensive interactions among collaborators, such as articulating knowledge into written, verbal or symbolic forms, authoring articles or posting messages to this
community’s discussion forum, responding or adding comments to messages or articles posted by others,etc. Knowledge collaborators’ capabilities to provide knowledge and the motivation to collaborate in the
learning process influence the quantity and quality of the knowledge to flow into the virtual learning community. In this paper, we have developed an ontology enabled annotation and knowledge management to provide semantic web services from three perspectives, personalized annotation, real-time discussion, and semantic content retrieval. Personalized annotation is used to equip the collaborators with Web based
authoring tools for commenting, knowledge articulation and exertion by extracting metadata from both the annotated content and the annotation itself, and establishing ontological relation between them. The realtime
discussion is used as a bridge to link collaborators and knowledge and motivate collaborators for knowledge sharing by building profiles for collaborators and knowledge (in the forms of content and
annotation) during every discussion session, and establishing ontological relation between the collaborators and knowledge for the use of semantic content retrieval. The semantic content retrieval then utilizes the ontological relations constructed from the personalized annotation and real-time discussion for finding more relevant collaborators and knowledge.
Relation: Educational Technology & Society, Vol. 7, No. 4, pp. 70-81. (SSCI)
Appears in Collections:[會計學系] 期刊論文

Files in This Item:

There are no files associated with this item.

All items in NCUEIR are protected by copyright, with all rights reserved.


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback