Reuse of scientific data in academic publications

Enriching scientific publications with semantically related data

Linked Open Data (LOD) and semantic technologies present an enormous potential for a variety of applications. LOD cloud is changing shape in a permanent way with the continuous addition of new datasets. This raises new possibilities for usage and affects the creation of applications on top of these data for various purposes. The purpose of this paper is to describe the use of LOD and semantic t...

Hephaestus: Data Reuse for Accelerating Scientific Discovery

Data-intensive science, wherein domain experts use big data analytics in the course of their research, is becoming increasingly common in the physical and social sciences. Moreover, data reuse is becoming the new normal, owing to the open data movement [15] and arrival of big science experiments such as the Large Hadron Collider. Here, a small group of researchers with exotic equipment produce ...

Semantic Annotation of Data Processing Pipelines in Scientific Publications

Data processing pipelines are a core object of interest for data scientist and practitioners operating in a variety of data-related application domains. To effectively capitalise on the experience gained in the creation and adoption of such pipelines, the need arises for mechanisms able to capture knowledge about datasets of interest, data processing methods designed to achieve a given goal, an...

Scientific publications

Scientific Publications