Paper Info
Title
Verification of query completeness over processes
Abstract
Data completeness is an essential aspect of data quality, and has in turn a huge impact on the effective management of companies. For example, statistics are computed and audits are conducted in companies by implicitly placing the strong assumption that the analysed data are complete. In this work, we are interested in studying the problem of completeness of data produced by business processes, to the aim of automatically assessing whether a given database query can be answered with complete information in a certain state of the process. We formalize so-called quality-aware processes that create data in the real world and store it in the company's information system possibly at a later point. We then show how one can check the completeness of database queries in a certain state of the process or after the execution of a sequence of actions, by leveraging on query containment, a well-studied problem in database theory.
Year
DOI
Venue
2013
10.1007/978-3-642-40176-3_13
BPM
Keywords
Field
DocType
query containment,business process,analysed data,complete information,certain state,query completeness,information system,database theory,data completeness,database query,data quality
Information system,Audit,Data quality,Business process,Computer science,View,Database theory,Completeness (statistics),Complete information,Database
Conference
Citations 
PageRank 
References 
2
0.39
15
Authors
3
Name
Order
Citations
PageRank
Simon Razniewski115727.07
Marco Montali2128099.36
Werner Nutt32009395.43