Data citation: A computational challenge

Susan B. Davidson, Peter Buneman, Daniel Deutch, Tova Milo, Gianmaria Silvello

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

7 Scopus citations

Abstract

Data citation is an interesting computational challenge, whose solution draws on several well-studied problems in database theory: query answering using views, and provenance. We describe the problem, suggest an approach to its solution, and highlight several open research problems, both practical and theoretical.

Original languageEnglish
Title of host publicationPODS 2017 - Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems
PublisherAssociation for Computing Machinery
Pages1-4
Number of pages4
ISBN (Electronic)9781450341981
DOIs
StatePublished - 9 May 2017
Externally publishedYes
Event36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2017 - Chicago, United States
Duration: 14 May 201719 May 2017

Publication series

NameProceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems
VolumePart F127745

Conference

Conference36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2017
Country/TerritoryUnited States
CityChicago
Period14/05/1719/05/17

Keywords

  • Data citation
  • Data provenance
  • Query answering using views

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