A Framework for Fine-grained Data Integration and Curation, with Provenance, in a Dataspace

@inproceedings{Archer2009AFF,
  title={A Framework for Fine-grained Data Integration and Curation, with Provenance, in a Dataspace},
  author={David W. Archer and Lois M. L. Delcambre and David Maier},
  booktitle={Workshop on the Theory and Practice of Provenance},
  year={2009}
}
Some tasks in a dataspace (a loose collection of heterogeneous data sources) require integration of fine-grained data from diverse sources. This work is often done by end users knowledgeable about the domain, who copy-and-paste data into a spreadsheet or other existing application. Inspired by this kind of work, in this paper we define a data curation setting characterized by data that are explicitly selected, copied, and then pasted into a target dataset where they can be confirmed or replaced… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 11 CITATIONS

J an 2 01 1 Provenance for Aggregate Queries

VIEW 2 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Inferring User Actions from Provenance Logs

  • 2015 IEEE Trustcom/BigDataSE/ISPA
  • 2015
VIEW 1 EXCERPT
CITES BACKGROUND

Incremental Data Fusion Based on Provenance Information

  • In Search of Elegance in the Theory and Practice of Computation
  • 2013
VIEW 2 EXCERPTS
CITES BACKGROUND

The Foundations for Provenance on the Web

  • Foundations and Trends in Web Science
  • 2010
VIEW 2 EXCERPTS
CITES BACKGROUND