Model transformation means converting an input model available at the beginning of the transformation process to an output model. A widely used approach to model transformation us...
Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
Composition languages like BPEL and many enactment tools only support structured process models, while most composition approaches only consider unstructured models. In this paper,...
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
In this paper we suggest the requirements for an open platform designed for the description, distribution and analysis of genetic polymorphism data. This platform is discussed in ...