TY - GEN
T1 - SelP
T2 - 2015 31st IEEE International Conference on Data Engineering, ICDE 2015
AU - Deutch, Daniel
AU - Gilad, Amir
AU - Moskovitch, Yuval
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/5/26
Y1 - 2015/5/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84940842036&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2015.7113407
DO - 10.1109/ICDE.2015.7113407
M3 - Conference contribution
AN - SCOPUS:84940842036
T3 - Proceedings - International Conference on Data Engineering
SP - 1484
EP - 1487
BT - 2015 IEEE 31st International Conference on Data Engineering, ICDE 2015
PB - Institute of Electrical and Electronics Engineers
Y2 - 13 April 2015 through 17 April 2015
ER -