Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
It is challenging to support the timeliness of realtime data service requests in data-intensive real-time applications such as online auction or stock trading, while maintaining t...
We define a type system for COWS, a formalism for specifying and combining services, while modelling their dynamic behaviour. Our types permit to express policies constraining dat...
Alessandro Lapadula, Rosario Pugliese, Francesco T...
We address the problem of large-scale data integration, where the data sources are unknown at design time, are from autonomous organisations, and may evolve. Experiments are descr...
Fujun Zhu, Mark Turner, Ioannis A. Kotsiopoulos, K...
Cyber Physical Systems (CPSs) have grand visions with great socio-economic impacts such as blackout-free electricity supply and real-time disaster recovery. A key challenge is pro...