SelP: Selective tracking and presentation of data provenance

Daniel Deutch, Amir Gilad, Yuval Moskovitch

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

5 Scopus citations

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 languageEnglish
Title of host publication2015 IEEE 31st International Conference on Data Engineering, ICDE 2015
PublisherIEEE Computer Society
Pages1484-1487
Number of pages4
ISBN (Electronic)9781479979639
DOIs
StatePublished - 26 May 2015
Externally publishedYes
Event2015 31st IEEE International Conference on Data Engineering, ICDE 2015 - Seoul, Korea, Republic of
Duration: 13 Apr 201517 Apr 2015

Publication series

NameProceedings - International Conference on Data Engineering
Volume2015-May
ISSN (Print)1084-4627

Conference

Conference2015 31st IEEE International Conference on Data Engineering, ICDE 2015
Country/TerritoryKorea, Republic of
CitySeoul
Period13/04/1517/04/15

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