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Data Citation: A Computational Challenge.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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

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http://dl.acm.org/citation.cfm?doid=3034786.3056123
Original languageEnglish
Title of host publicationProceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems
PublisherACM
Pages1-4
Number of pages4
ISBN (Electronic)978-1-4503-4198-1
DOIs
Publication statusPublished - 19 May 2017
Event36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems - New York, United States
Duration: 14 May 201719 May 2017

Conference

Conference36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems
CountryUnited States
CityNew York
Period14/05/1719/05/17

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.

Event

36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems

14/05/1719/05/17

New York, United States

Event: Conference

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