Please use this identifier to cite or link to this item:
|Title:||Storage and use of provenance information for relational database queries|
Wang Ling, T.
|Citation:||Bao, Z.,Koehler, H.,Zhou, X.,Wang Ling, T. (2011). Storage and use of provenance information for relational database queries. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6588 LNCS (PART 2) : 429-433. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-20152-3_32|
|Abstract:||In database querying, provenance information can help users understand where data comes from and how it is derived. Storing the provenance data is critical in the sense that, the storage cost should be as small as possible and of fine granularity, and it should support the user query on provenance tracking efficiently as well. In this demo, we have implemented a relational database system prototype which can support SQL-like query while supporting provenance data recording during query execution. In particular, we propose a tree structure to store provenance information and further propose various reduction strategies to optimize its storage cost; we support the functionality of provenance data tracking at tuple level for user queries in a visualized way. © 2011 Springer-Verlag.|
|Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Nov 16, 2018
checked on Sep 29, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.