Paper Info
Title
WebLab PROV: computing fine-grained provenance links for XML artifacts
Abstract
We present a new provenance model for generating fine-grained data and service dependencies within XML data processing workflows. Our approach follows the widely used black box transformation semantics [15] in which service components produce new outputs from their inputs (without transformation). The heart of the model are data dependency rules which are evaluated on XML documents assembling all data produced by some workflow execution (similar to nested collections [5]). Dependency rules are defined in XPath extended with variables and can directly be compiled into XQuery expressions for generating provenance information in RDF-PROV [8]. We also present an implementation of our model, using the WebLab platform [19], showing step-by-step how our model works in a typical media mining use-case.
Year
DOI
Venue
2013
10.1145/2457317.2457367
EDBT/ICDT Workshops
Keywords
Field
DocType
weblab prov,fine-grained provenance link,provenance information,black box transformation semantics,dependency rule,xml artifact,new output,xml data,data dependency rule,new provenance model,model work,xml document,fine-grained data
Black box (phreaking),Data dependency,Programming language,XML,Expression (mathematics),Computer science,XPath,Workflow,Semantics,XQuery
Conference
Citations 
PageRank 
References 
5
0.42
21
Authors
4
Name
Order
Citations
PageRank
Bernd Amann142559.99
Camelia Constantin2122.47
Clément Caron391.48
Patrick Giroux4273.20