The Search Engine for Articles and Multimedia in Blogs

Authors:
Shu-Chen Cheng;Kao-Pin Huang;Yun-Chung Chen
Affiliations:
Department of Computer Science and Information Engineering, Southern Taiwan University, Tainan, Taiwan 710;Department of Computer Science and Information Engineering, Southern Taiwan University, Tainan, Taiwan 710;Department of Computer Science and Information Engineering, Southern Taiwan University, Tainan, Taiwan 710
Venue:
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2008

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Abstract

Since the development of information technology and internet, more and more people share multimedia files via internet, including images, animation or music. Blogs have become one of the means to share multimedia, life and study experiences on internet. Nowadays, there are quite huge amount of texts and multimedia in blogs. The quality of contents of blogs is so ragged that this phenomenon somehow would lead to negative influence on the blogs' learners. This research attempts to utilize the features of articles and multimedia to categorize multimedia in blogs. This system reveals that to effectively separate the quintessence and rubbish multimedia can improve learners' quality of learning by obtaining quintessence articles and multimedia effectively.