MobiTOP: A System for Mobile Tagging of Objects and People
Dion Goh (PI), Lim Ee Peng (co-PI), Theng Yin Leng (Co-PI), Chang Chew Hung, Kalyani Chatterjea, Zhang Jun & Sun Ai Xin.
Email: chewhung.chang@nie.edu.sg
The project will conduct research and development in mobile tagging, focusing on the creation, management, analysis and discovery of mobile tags consisting of media elements (e.g. images, video), keywords and other supporting metadata attributes. The specific objectives are:
- Techniques for tag analysis and discovery. A central contribution of this project is the development and evaluation of techniques for analyzing and discovering tags generated by users. Research in this area will center on user profiling and object/people recommendation using social network analysis techniques, and others drawn from the text mining literature.
- Models for mobile tags. Crucial to the tag analysis and discovery effort is the data captured by the mobile tags themselves. Research will focus on the multimedia and contextual attributes describing both basic (individual) and composite objects and people.
- MobiTOP prototype. The resulting algorithms and models will be integrated and demonstrated via the development of the MobiTOP (Mobile Tagging of Objects and People) system that realizes our vision of mobile tagging. In addition, an important contribution will also be the user interfaces that will be developed for mobile tagging. Here extensive user evaluations will be conducted on different design alternatives.
- Deploy and evaluate MobiTOP in the education domain. MobiTOP will also be deployed and evaluated in the context of the education domain, focusing in particular, on building a community of learners centered on geography education.
Source of funding: A*STAR
Project Duration: Jan 2007 – Jan 2010