October 2012 Volume 15 Number 4 - Educational Technology ...

(Fujimura et al., 2007). The aim of auto-tagging is to automatically assign appropriate keywords for a resource. In
principle, the appropriate keywords can be selected from the context or tag sets of other resources of which contents
are similar to that of the resource.
For further future directions, we are especially interested in the discovery of relationships between user profile and
behavior log on the system, context of tags, as well as that of documents. Discovering these relationships could help
us realize why users tag, how users employ tags, user preference in using our system, and the connection between
tags and the subject of the corresponding tagging documents. Implementing these features could facilitate the system
to be more intelligent, learner-centered, and personalized (Kohrs, & Merialdo, 2001; Khribi, et al., 2009). In
addition, the system implementation will involve more features of Web 2.0. Web 2.0 engages a group of users with
similar interesting in exhibits and facilitates these users to exchange their opinion. This would enable high user
cognition to the exhibits (Brown, 2006) and opens a window for collaborative learning (Terntin, 2008; Rubio et al.,
2009)
Acknowledgements
The authors thank the National Science Council of the Republic of China for financially supporting this research
under Contract No. NSC 98-2631-S-008-003 and thank the consortium running OpenScienceResources project
coordinated by the European Network of Science Centers and Museums for technical support. The authors also thank
anonymous reviewers for valuable comments.
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