Paper Info
Title
Supporting database provenance under schema evolution
Abstract
Database schema upgrades are common in modern information systems, where the provenance of the schema is of much interest, and actually required to explain the provenance of contents generated by the database conversion that is part of such upgrades. Thus, an integrated management for data and metadata is needed, and the Archived Metadata and Provenance Manager (AM&PM) system is the first to address this requirement by building on recent advances in schema mappings and database upgrade automation. Therefore AM&PM (i) extends the Information Schema with the capability of archiving the provenance of the schema and other metadata, (ii) provides a timestamp based representation for the provenance of the actual data, and (iii) supports powerful queries on the provenance of the data and on the history of the metadata. In this paper, we present the design and main features of AM&PM, and the results of various experiments to evaluate its performance.
Year
DOI
Venue
2012
10.1007/978-3-642-33999-8_9
ER Workshops
Keywords
Field
DocType
actual data,database conversion,main feature,information schema,archived metadata,database upgrade automation,database provenance,schema mapping,integrated management,schema evolution,database schema upgrade,provenance manager
Metadata repository,Data mining,Metadata,Conceptual schema,Computer science,Database schema,Data integrity,Information schema,Schema evolution,Schema (psychology),Database
Conference
Citations 
PageRank 
References 
0
0.34
15
Authors
2
Name
Order
Citations
PageRank
Shi Gao11127.72
Carlo Zaniolo243051447.58