Modern scientific collaborations have opened up the opportunity to solve complex problems
that require both multidisciplinary expertise and large-scale computational experiments …

The FAIR Guiding Principles, published in 2016, aim to improve the findability, accessibility,
interoperability and reusability of digital research objects for both humans and machines …

Background Over the past decade the workflow system paradigm has evolved as an efficient
and user-friendly approach for developing complex bioinformatics applications. Two popular …

Spatial Data Infrastructures (SDIs) are being widely used in the environmental sciences to
share, discover, visualize and retrieve geospatial data through Open Geospatial Consortium …

The paper presents a platform for distributed computing, developed using the latest software
technologies and computing paradigms to enable big data mining. The platform, called …

Scheduling workflow applications in grid environments is a great challenge, because it is an
NP-complete problem. Many heuristic methods have been presented in the literature and …

Analyzing biological data (eg, annotating genomes, assembling NGS data...) may involve
very complex and interlinked steps where several tools are combined together. Scientific …

Today there exist a wide variety of scientific workflow management systems, each designed
to fulfill the needs of a certain scientific community. Unfortunately, once a workflow …

We present an ontology for representing workflows over components with Read-Write
Linked Data interfaces and give an operational semantics to the ontology via a rule …

Web services, cloud computing, location based services, NoSQLdatabases, and Semantic
Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both …