Theory and Practice of Provenance

Daniel Deutch, Tanu Malik, Adriane Chapman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Provenance is metadata about the origin, history, or derivation of something; in computer science, provenance usually describes some informational artifact, such as a dataset, an executable program, a news article, or a chart or graph in a scientific publication. Notably, provenance is closely related to issues of explanation, accountability, transparency and ethics. Indeed, these and related issues are the subject of extensive investigation in multiple areas of research such as Scientific Workflows, Databases, Machine Learning and Artificial Intelligence. TaPP, the international workshop on Theory and Practice of Provenance, is widely considered to be the premier venue dedicated to provenance. In 2022, it is held for the first time in conjunction with ACM SIGMOD.

Original languageEnglish
Title of host publicationSIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data
PublisherAssociation for Computing Machinery
Pages2544-2545
Number of pages2
ISBN (Electronic)9781450392495
DOIs
StatePublished - 10 Jun 2022
Event2022 ACM SIGMOD International Conference on the Management of Data, SIGMOD 2022 - Virtual, Online, United States
Duration: 12 Jun 202217 Jun 2022

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Conference

Conference2022 ACM SIGMOD International Conference on the Management of Data, SIGMOD 2022
Country/TerritoryUnited States
CityVirtual, Online
Period12/06/2217/06/22

Keywords

  • Provenance

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