S Peroni, D Shotton - Quantitative Science Studies, 2020 - direct.mit.edu
OpenCitations is an infrastructure organization for open scholarship dedicated to the publication of open citation data as Linked Open Data using Semantic Web technologies …
Scripts are widely used to design and run scientific experiments. Scripting languages are easy to learn and use, and they allow complex tasks to be specified and executed in fewer …
Machine learning (ML) is now commonplace, powering data-driven applications in various organizations. Unlike the traditional perception of ML in research, ML production pipelines …
NR Jennings, L Moreau, D Nicholson… - Communications of the …, 2014 - dl.acm.org
Human-agent collectives Page 1 80 COMMUNICATIONS OF THE ACM | DECEMBER 2014 | VOL. 57 | NO. 12 review articles DOI:10.1145/2629559 HACs offer a new science for exploring …
Provenance is information describing the lineage of an object, such as a dataset or biological material. Since these objects can be passed between organizations, each …
Scientific workflow management systems offer features for composing complex computational pipelines from modular building blocks, for executing the resulting automated …
In this article, we describe a system that reads news articles in four different languages and detects what happened, who is involved, where and when. This event-centric information is …
Major natural or man-made disasters such as Hurricane Katrina or the 9/11 terror attacks pose significant challenges for emergency responders. First, they have to develop an …
A Chapman, P Missier, G Simonelli… - Proceedings of the VLDB …, 2020 - dl.acm.org
Data processing pipelines that are designed to clean, transform and alter data in preparation for learning predictive models, have an impact on those models' accuracy and performance …