Data analysis pipelines are now established as an effective means for specifying and
executing bioinformatics data analysis and experiments. While scripting languages …

One of the main challenges of scientific experiments is to allow scientists to manage and
exchange their scientific computational resources (data, programs, models, etc.). The …

Connected objects in the Internet of Things (IoT) domain are widespread everywhere. They
interact with each other and cooperate with their neighbors to achieve a common goal. Most …

Finding useful services is a challenging and important task in several applications. Current
approaches for services retrieval are mostly limited to the matching of their inputs/outputs. In …

Over the last years, a number of scientific workflow management systems (SciWFM) have
been brought to a state of maturity that should permit their usage in a production-style …

The myExperiment virtual research environment supports the sharing of research objects
used by scientists, such as scientific workflows. For researchers it is both a social …

Today's scientific data analysis very often requires complex Data Analysis Workflows
(DAWs) executed over distributed computational infrastructures, eg, clusters. Much research …

Scientific workflows have become a valuable tool for large-scale data processing and
analysis. This has led to the creation of specialized online repositories to facilitate workflow …

Over the last years, scientists have been using scientific workflows to build computer
simulations to support the development of new theories. Due to the increasing use of …

Scientists have been using scientific workflow management systems (SWfMS) to support
scientific experiments. However, SWfMS expect a modeled workflow to be represented on its …