The exponential growth and reliability of Wikipedia have made it a promising data source for intelligent systems. The first challenge of Wikipedia is to make the encyclopedia mac...
In this paper, we present a method of semantic knowledge building for image database by extracting semantic meanings from Web page contents. The novelty of our method is that it i...
Yung-Kwang Lai, Song Liu, Liang-Tien Chia, Syin Ch...
Visual summarization is an attractive new scheme to summarize web pages, which can help achieve a more friendly user experience in search and re-finding tasks by allowing users qu...
Personalized search has gained great popularity to improve search effectiveness in recent years. The objective of personalized search is to provide users with information tailored ...
In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...