Abstract
Many curated databases are constructed by scientists integrating various existing data sources "by hand", that is, by manually entering or copying data from other sources. Capturing provenance in such an environment is a challenging problem, requiring a good model of the process of curation. Existing models of provenance focus on queries/views in databases or computations on the Grid, not updates of databases or Web sites. In this paper we motivate and present a simple model of provenance for manually curated databases and discuss ongoing and future work. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Buneman, P., Chapman, A., Cheney, J., & Vansummeren, S. (2006). A provenance model for manually curated data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4145 LNCS, pp. 162–170). Springer Verlag. https://doi.org/10.1007/11890850_17
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
