Carmela Comito

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— Bioinformatics can be considered as a bridge between life science and computer science. Biology requires high and large computing power to performance biological applications and to access huge number of distributed and (often) heterogeneous databases. Computer scientists and database communities have expertises in high performance algorithms computation(More)
— Today data sources are pervasive and their number is growing tremendously. Current tools are not prepared to exploit this unprecedented amount of information and to cope with this highly heterogeneous, autonomous and dynamic environment. In this paper, we propose a novel semantic overlay network architecture, PARIS, aimed at addressing these issues. In(More)
Data Grids provide transparent access to heterogeneous and autonomous data resources. The main contribution of this paper is the presentation of a data sharing system that (i) is tailored to data grids, (ii) supports well established and widely spread relational DBMSs, and (iii) adopts a hybrid architecture by relying on a peer model for query(More)