Information-driven networks include a large category of networking systems, where network nodes are aware of information delivered and thus can not only forward data packets but m...
Resolving the semantic heterogeneity problem is crucial to allow interoperability between ontology-based systems. Ontology matching based on argumentation is an innovative research...
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
In this article, we present an experiment of linguistic parameter tuning in the representation of the semantic space of polysemous words. We evaluate quantitatively the influence ...
The ability of performance technology to keep pace with the growing complexity of parallel and distributed systems depends on robust performance frameworks that can at once provid...