Figures in digital documents contain important information. Current digital libraries do not summarize and index information available within figures for document retrieval. We pr...
Xiaonan Lu, James Ze Wang, Prasenjit Mitra, C. Lee...
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
A semantically meaningful image hierarchy can ease the human effort in organizing thousands and millions of pictures (e.g., personal albums), and help to improve performance of en...
Li-Jia Li, Chong Wang, Yongwhan Lim, David Blei, L...
Recommender systems apply statistical and knowledge discovery techniques to the problem of making recommendations during live user interaction. This paper describes a novel approa...
This paper provides initial analysis in identifying possible Web services composition using context-based semantic matching. Context-based semantic matching allows service composi...