An algebraic approach for data-centric scientific workflows

An Algebraic Approach for Data-Centric Scientific Workflows

Scientific workflows have emerged as a basic abstraction for structuring and executing scientific experiments in computational environments. In many situations, these workflows are computationally and data intensive, thus requiring execution in large-scale parallel computers. However, parallelization of scientific workflows remains low-level, ad-hoc and laborintensive, which makes it hard to ex...

An Algebraic Approach for Scientific Workflows with Large Scale Data (Une Approche Algébrique pour les Workflows Scientifiques Orientés-Données)

Collaborative Data-centric Workflows: Towards Knowledge centric workflows and Integrating Uncertain Data

The acquisition of data, in particular for scientific data, is more and more organized in complex processes that are captured by workflows. These workflows are often driven by ontologies. For example the collaborative application Spipoll [3] proposes to collect information about pollination in France. The users take pictures of insects on flowers, download them on the application and then ident...

An Architecture for Compiling UDF-centric Workflows

Data analytics has recently grown to include increasingly sophisticated techniques, such as machine learning and advanced statistics. Users frequently express these complex analytics tasks as workflows of user-defined functions (UDFs) that specify each algorithmic step. However, given typical hardware configurations and dataset sizes, the core challenge of complex analytics is no longer sheer d...

An Ontology-Driven Framework for Data Transformation in Scientific Workflows

Ecologists spend considerable effort integrating heterogeneous data for statistical analyses and simulations, for example, to run and test predictive models. Our research is focused on reducing this effort by providing data integration and transformation tools, allowing researchers to focus on “real science,” that is, discovering new knowledge through analysis and modeling. This paper defines a...