The dramatic increase in the use of knowledge discovery applications requires end users to
write complex database search requests to retrieve information. Such users are not only …

Computational experiments have been important since the 70s to find solutions to problems
using computers, and even more now with the advancement of technology, especially …

Purpose Human lab experiments have become an established method in information
systems research for investigating user behavior, perception and even neurophysiology …

The emergence of Cloud computing provides a new computing paradigm for scientific
workflow execution. It provides dynamic, on-demand and scalable resources that enable the …

Providing an appropriate level of accessibility and traceability to data or process elements
(so-called Items) in large volumes of data, often Cloud-resident, is an essential requirement …

Exceptional growth in the availability of large-scale clinical imaging datasets has led to the
development of computational infrastructures that offer scientists access to image …

Scientific experiments and projects such as CMS and neuGRIDforYou (N4U) are annually
producing data of the order of Peta-Bytes. They adopt scientific workflows to analyse this …

Provenance has been thought of a mechanism to verify a workflow and to provide workflow
reproducibility. This provenance of scientific workflows has been effectively carried out in …

Provenance of scientific workflows has been considered a mean to provide workflow
reproducibility. However, the provenance approaches adopted so far are not applicable in …

The report discusses different approaches and methods of populating an existing ontology
with individuals and interrelationships between them on the basis of structured data retained …