In this position paper, we present MEADOWS, a software framework that we are building at HKUST (The Hong Kong University of Science and Technology) for modeling, emulation, and an...
Qiong Luo, Lionel M. Ni, Bingsheng He, Hejun Wu, W...
We describe a software-engineering strategy called the `View-Primitive Data Model framework' (or `VPDMf') derived from the design of leading commercial software engineer...
Gully A. P. C. Burns, Fang Bian, Wei-Cheng Cheng, ...
With the growing popularity of Social Web applications, more and more user data is published on the Web everyday. Our research focuses on investigating ways of mining data from su...
Fabian Abel, Ilknur Celik, Claudia Hauff, Laura Ho...
The proliferation of linked data on the Web paves the way to a new generation of applications that exploit heterogeneous data from different sources. However, because this Web of d...
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, ...