Provenance for Computational Tasks: A Survey

By Juliana Freire, D. Koop, E. Santos, Cláudio T. Silva. Computing in science & engineering (Print), 2008

578 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/6561b6a55114cc1da9f0f09d0396bb6b508a6fe9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Melanie Herschel
2. Patrick Valduriez
3. Amol Deshpande
4. Amit Chavan
5. Hui Miao
6. Esther Pacitti
7. Marta Mattoso
8. Ji Liu

In Information Systems

1. Melanie Herschel
2. Amol Deshpande
3. Amit Chavan
4. Hui Miao
5. Ralf Diestelkämper
6. Houssem Ben Lahmar

In Information Systems and Management

1. Melanie Herschel
2. Patrick Valduriez
3. Amol Deshpande
4. Amit Chavan
5. Hui Miao
6. Esther Pacitti
7. Marta Mattoso
8. Ji Liu

Citations in the corpus

• A Survey of Surface Reconstruction from Point Clouds (2017, background): “The issue of reproducibility and provenance is well studied in other areas, including visualization and scientific work-flows [SFC07,FKSS08], and it has been shown to be useful for studying 3D model construction [DKP11].”
• ProvDB: A System for Lifecycle Management of Collaborative Analysis Workflows (2016, background): “In scientific workflow systems [1,2,12,13,13,14,29,33,35,36,54] where the operations are typically treated as black boxes, the provenance can usually be captured only at the level of datasets.”
• A survey on provenance: What for? What form? What from? (2017, methodology): “In this survey, we focus onworkmade since [74] in the field of retrospective, prospective provenance, and evolution provenance.”
• A Survey of Data-Intensive Scientific Workflow Management (2015, background): “Provenance data represents information regarding workflow execution [53].”