1 Many applications require integrated access to multiple distributed, autonomous, and often semantically disparate data. Hence there is a need for bridging the semantic gap betwe...
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...
We propose a framework for integrating data from multiple relational sources into an XML document that both conforms to a given DTD and satisfies predefined XML constraints. The f...
Michael Benedikt, Chee Yong Chan, Wenfei Fan, Juli...
The goal of EII Systems is to provide uniform access to multiple data sources without having to first loading them into a data warehouse. Since the late 1990's, several EII p...
Alon Y. Halevy, Naveen Ashish, Dina Bitton, Michae...
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
Entity matching (a.k.a. record linkage) plays a crucial role in integrating multiple data sources, and numerous matching solutions have been developed. However, the solutions have...
Warren Shen, Pedro DeRose, Long Vu, AnHai Doan, Ra...