We present an approach to exploit social and spatio-temporal context in order to improve information dissemination in dynamic largescale public spaces. We illustrate it by applying...
Nasim Mahmud, Petr Aksenov, Ansar-Ul-Haque Yasar, ...
Abstract—Performance is a key feature of large-scale computing systems. However, the achieved performance when a certain program is executed is significantly lower than the maxi...
— Recent progress in the algorithm as well as the processor power have made the dynamics simulation of complex kinematic chains more realistic in various fields such as human mo...
Abox inference is an important part in OWL data management. When involving large scale of instance data, it can not be supported by existing inference engines. In this paper, we p...
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...