Provenance in the context of workflows, both for the data they derive and for their
specification, is an essential component to allow for result reproducibility, sharing, and …

Data is a valuable asset for the success of business and organizations these days, as it is
effectively utilized for decision making, risk assessment, prioritizing the goals and …

Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …

Multi-dimensional arrays, or tensors, are increasingly found in fields such as signal
processing and recommender systems. Real-world tensors can be enormous in size and …

The problem of systematically capturing and managing provenance for computational tasks
has recently received significant attention because of its relevance to a wide range of …

The prov family of documents are the final output of the World Wide Web Consortium
Provenance Working Group, chartered to specify a representation of provenance to facilitate …

Workflow provenance typically assumes that each module is a" black-box", so that each
output depends on all inputs (coarse-grained dependencies). Furthermore, it does not …

Summary The Internet of things (IoT) is emerging as the next big wave of digital presence for
billions of devices on the Internet. Smart cities are a practical manifestation of IoT, with the …

Provenance refers to the entire amount of information, comprising all the elements and their
relationships, that contribute to the existence of a piece of data. The knowledge of …

Modern computational neuroscience employs diverse software tools and multidisciplinary
expertise to analyze heterogeneous brain data. The classical problems of gathering …