Abstract. An explosion in the use of RDF for representing information about resources has driven the requirements for Webscale server systems that can store and process huge quanti...
Barry Bishop, Atanas Kiryakov, Damyan Ognyanoff, I...
The availability of streaming data sources is progressively increasing thanks to the development of ubiquitous data capturing technologies such as sensor networks. The heterogeneit...
With the advances in processing, memory, and connectivity technologies, applications are becoming increasingly distributed, data-centric, and web based. These applications demand ...
—Cloud computing is an emerging computing paradigm in which resources of the computing infrastructure are provided as services over the Internet. As promising as it is, this para...
The periodic broadcasting of frequently requested data can reduce the workload of uplink channels and improve data access for users in a wireless network. Since mobile devices hav...
Abstract. As it is well-known, querying and managing structured data in natural language is a challenging task due to its ambiguity (syntactic and semantic) and its expressiveness....
Given the heterogeneous nature of biological data and their intensive use in many tools, in this paper we propose a semantic data access and integration (DAI) service, based on th...
Giovanni Aloisio, Massimo Cafaro, Italo Epicoco, S...
Data grids deal with a huge amount of data regularly. It is a fundamental challenge to ensure efficient accesses to such widely distributed data sets. Creating replicas to a suita...
With the increasing adoption of mobile computing devices that carry confidential data, organizations need to secure data in an ever-changing environment. Critical organizational d...
We have used semantic technologies to design, implement, and deploy an interdisciplinary virtual observatory. The Virtual Solar-Terrestrial Observatory is a production data framew...
Deborah L. McGuinness, Peter Fox, Luca Cinquini, P...