Data-intensive, interactive applications are an important class of metacomputing (Grid) applications. They are characterized by large, time-varying data flows between data provid...
We present a very efficient, in terms of space and access speed, data structure for storing huge natural language data sets. The structure is described as LZ (Ziv Lempel) compresse...
The amount of data published on the Semantic Web has witnessed a tremendous growth in the last years to which the Linked Open Data (LOD) project has contributed significantly. Whil...
This paper describes a new flexible representation for the annotation of complex structures of metadata over heterogeneous data collections containing text and other types of medi...
In this paper, we study the use of heterogeneous data for training of acoustic models. In initial experiments, a significant drop of accuracy has been observed on in-domain test s...