We propose a novel approach to find aliases of a given name from the web. We exploit a set of known names and their aliases as training data and extract lexical patterns that conv...
We study the problem of answering ambiguous web queries in a setting where there exists a taxonomy of information, and that both queries and documents may belong to more than one ...
Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverso...
This paper proposes an effective Web services (WS) transaction management framework to automatically manage inconsistencies occurred by relaxing isolation of WS transactions. Cate...
Seunglak Choi, Jungsook Kim, Hyukjae Jang, Su Myeo...
Although much has been written about various information integration technologies, little has been said regarding how to combine these technologies together to build an entire &qu...
Greg Barish, Craig A. Knoblock, Yi-Shin Chen, Stev...
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...