A science of e-learning involves the scientific investigation of how people learn in electronic learning environments. Three elements of a science of e-learning are: a) evidence—a base of replicated findings from rigorous and appropriate research studies; b) theory—a research-based theory of how people learn in electronic learning environments, which yields testable predictions; and c) applicat...

The CARMEN e-science project (www.carmen.org.uk) is designing a system to allow neuroscientists to share, integrate and analyse data. Globally, over 100,000 neuroscientists are working on the problem of understanding how the brain works. This is a major challenge that could revolutionise biology, medicine and computer science. Solving it requires investigating how the brain encodes, transmits a...

This paper ANDROMEDA, an astronomical data mediation system that enables transparent access to astronomical data servers. Transparent access is achieved by a global view that expresses requirements of community of users (e.g., astronomers) and data integration mechanisms adapted to astronomical data characteristics. Instead of providing an ad hoc mediator, ANDROMEDA can be configured for giving...

We report our teaching experience of undergraduate courses on logic and computation. The topics covered are the syntax and the semantics of basic logical and computational calculi. We put our emphasis on the treatment of formal systems and formal reasoning which is notoriously difficult for most students. To overcome this difficulty, we developed an e-learning system called CAL and have been us...

There have been recent proposals in search of alternative security architectures to PKIs for grid application and e-Science. The application of identity-based cryptography (IBC) in designing a grid security architecture seems to be interesting because of its attractive properties, such as, being certificate-free and having small key sizes. In this paper, we discuss our latest research findings ...

Network structure analysis plays an important role in characterizing complex systems. Different from previous network centrality measures, this article proposes the topological centrality measure reflecting the topological positions of nodes and edges as well as influence between nodes and edges in general network. Experiments on different networks show distinguished features of the topological...

Ontologies are being widely used in online science activities, or e-Science, most notably in roles related to managing and integrating data resources and workflows. We suggest this use has focused on enabling e-science infrastructures to operate more efficiently, but has had less emphasis on scientific knowledge innovation. A greater focus on online innovation can be achieved through more expli...

Our Chemical e-Science Information Cloud (ChemCloud) – a Semantic Web based eScience infrastructure – integrates and automates a multitude of databases, tools and services in the domain of chemistry, pharmacy and bio-chemistry available at the Fachinformationszentrum Chemie (FIZ Chemie), at the Freie Universitaet Berlin (FUB), and on the public Web. Based on the approach of the W3C Linked Open ...

In the e-Science context, workflow technologies provide a problem-solving environment for researchers by facilitating the creation and execution of experiments from a pool of available data and computation services. Recent activities in the field of social simulation indicate the need to improve the scientific rigour of agent-based modelling by making simulation experiments more transparent. We...

This work intends to provide a data management solution based on the concepts of dataspaces for the large-scale and long-term management of scientific data. Our approach is to semantically enrich the existing relationship among primary and derived data items, and to preserve both relationships and data together within a dataspace to be reused by owners and others. To enable reuse, data must be ...