Abstract
Highly expressive declarative languages, such as Datalog, are now commonly used to model the operational logic of data-intensive applications. The typical complexity of such Datalog programs, and the large volume of data that they process, call for the tracking and presentation of data provenance. Provenance information is crucial for explaining and justifying the Datalog program results. However, the size of full provenance information is in many cases too large (and its concise representations are too complex) to allow its presentation to the user. To this end, we propose a demonstration of selP, a system that allows the selective presentation of provenance, based on user-specified top-k queries. We will demonstrate the usefulness of selP using a real-life program and data, in the context of Information Extraction.
| Original language | English |
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| Title of host publication | 2015 IEEE 31st International Conference on Data Engineering, ICDE 2015 |
| Publisher | IEEE Computer Society |
| Pages | 1484-1487 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781479979639 |
| DOIs | |
| State | Published - 26 May 2015 |
| Externally published | Yes |
| Event | 2015 31st IEEE International Conference on Data Engineering, ICDE 2015 - Seoul, Korea, Republic of Duration: 13 Apr 2015 → 17 Apr 2015 |
Publication series
| Name | Proceedings - International Conference on Data Engineering |
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| Volume | 2015-May |
| ISSN (Print) | 1084-4627 |
Conference
| Conference | 2015 31st IEEE International Conference on Data Engineering, ICDE 2015 |
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| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 13/04/15 → 17/04/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.