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 language | English |
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Title of host publication | PODS 2017 - Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems |
Publisher | Association for Computing Machinery |
Pages | 1-4 |
Number of pages | 4 |
ISBN (Electronic) | 9781450341981 |
DOIs | |
State | Published - 9 May 2017 |
Event | 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2017 - Chicago, United States Duration: 14 May 2017 → 19 May 2017 |
Publication series
Name | Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems |
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Volume | Part F127745 |
Conference
Conference | 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2017 |
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Country/Territory | United States |
City | Chicago |
Period | 14/05/17 → 19/05/17 |
Keywords
- Data citation
- Data provenance
- Query answering using views
All Science Journal Classification (ASJC) codes
- Software
- Information Systems
- Hardware and Architecture