A workflow language for research e-infrastructures

A Linguistic Service Ontology for Language Infrastructures

This paper introduces conceptual framework of an ontology for describing linguistic services on network-based language infrastructures. The ontology defines a taxonomy of processing resources and the associated static language resources. It also develops a sub-ontology for abstract linguistic objects such as expression, meaning, and description; these help define functionalities of a linguistic...

Keynote Speaker e-Infrastructures for e-Science

Nowadays, proprietary and monolithic IT environments are more and more transformed into standardand component-based service infrastructures. In this keynote, we will analyse this trend especially for the area of e-Science. While in the past decades, scientist have developed centralised, application-focused (silo-oriented) hardware and software environments, they now (for good reasons) tend to j...

A Vision for Global Research Data Infrastructures

New high-throughput scientific instruments, telescopes, satellites, accelerators, supercomputers, sensor networks, and running simulations are generating massive amounts of data. In order to be able to exploit these huge volumes of data, a new type of e-infrastructure, the Global Research Data Infrastructure (GRDI), must be developed for harnessing the accumulating data and knowledge produced b...

e-Science-towards the cloud: infrastructures, applications and research.

e-Infrastructures supporting research into depression, self-harm and suicide.

The Economic and Social Research Council (ESRC)-funded Data Management through e-Social Sciences (DAMES) project is investigating, as one of its four research themes, how research into depression, self-harm and suicide may be enhanced through the adoption of e-Science infrastructures and techniques. In this paper, we explore the challenges in supporting such research infrastructures and describ...