Mar 21, 2015 · Provenance allows for the precise description of how a computational scientific experiment was set up, and what happened during its execution.

Provenance systems can be used to support this task since they gather details about the design and execution of these experiments. However, provenance ...

Kairos, a provenance security architecture, is proposed to protect both prospective and retrospective provenance, in order to reduce the risk of intellectual ...

Applying Provenance to Protect Attribution in Distributed Computational Scientific Experiments · List of references · Publications that cite this publication.

Applying Provenance to Protect Attribution in Distributed Computational Scientific Experiments. Luiz M. R. Gadelha Jr., Marta Mattoso. Pages 139-151. Download ...

This paper presents use cases for a provenance architecture from current experiments in biology, chemistry, physics and computer science, and analyse the ...

Applying Provenance to Protect Attribution in Distributed Computational Scientific Experiments · Publication Years1998 - 2018 · Publication counts103 · Citation ...

Applying Provenance to Protect Attribution in Distributed Computational Scientific Experiments. Luiz Gadelha and Marta Mattoso. 10:30, 11:00, Break. 11:00, 11 ...

Applications of provenance include reproducibility of computational processes, sharing and reuse of knowledge, data quality evaluation and attribution of ...

Aug 17, 2022 · In this paper, we define a lightweight provenance model based on W3C PROV that enables generation of distributed provenance chains in complex, multi- ...