A scientific software ecosystem aims to integrate all stages of an experiment and its related workflows, in order to solve complex problems. In this vein, in order to assure the experiment proper execution, any modification that occurs must be propagated to the associated workflows, which must...

This paper proposes a strategy for representing constraints in a conceptual graph knowledge base. We describe a set of techniques for using these constraints to detect inconsistencies in a knowledge base by finding sets of nodes that are inconsistent with these constraints. The detection method...

In this paper, we propose to develop a Story Generator from hints using a machine learning approach. During the learning phase, the system is fed with stories which are POS tagged and are converted into a Language Relationship model that is represented as a conceptual graph. During the synthesis...

Reproducibility is a major feature of Science. Even agronomic research of exemplary quality may have irreproducible empirical findings because of random or systematic error. The ability to reproduce agronomic experiments based on statistical data and legacy scripts are not easily achieved. We...

The redesign of cloud storage with the amalgamation of cooperative cloud and an immutable and unhackable distributed database blockchain thrives towards a strong CIA triad and secured data provenance. The conspiracy ideology associated with the traditional cloud has economized with cooperative...

The recent emergence of web 2.0 technologies and rich internet applications is driving the development of a new class of applications that combines data from diverse sources which we refer to as “mash-ups.” One of the most popular mash-ups comes in the form of web feed mash-ups relying on...