License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICDT.2016.16
URN: urn:nbn:de:0030-drops-57851
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/5785/
Go to the corresponding LIPIcs Volume Portal

Savkovic, Ognjen ; Marengo, Elisa ; Nutt, Werner

Query Stability in Monotonic Data-Aware Business Processes

pdf-format:
15.pdf (0.6 MB)

Abstract

Organizations continuously accumulate data, often according to some business processes. If one poses a query over such data for decision support, it is important to know whether the query is stable, that is, whether the answers will stay the same or may change in the future because business processes may add further data. We investigate query stability for conjunctive queries. To this end, we define a formalism that combines an explicit representation of the control flow of a process with a specification of how data is read and inserted into the database. We consider different restrictions of the process model and the state of the system, such as negation in conditions, cyclic executions, read access to written data, presence of pending process instances, and the possibility to start fresh process instances. We identify for which restriction combinations stability of conjunctive queries is decidable and provide encodings into variants of Datalog that are optimal with respect to the worst-case complexity of the problem.

BibTeX - Entry

@InProceedings{savkovic_et_al:LIPIcs:2016:5785,
  author =	{Ognjen Savkovic and Elisa Marengo and Werner Nutt},
  title =	{{Query Stability in Monotonic Data-Aware Business Processes}},
  booktitle =	{19th International Conference on Database Theory (ICDT 2016)},
  pages =	{16:1--16:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-002-6},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{48},
  editor =	{Wim Martens and Thomas Zeume},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/5785},
  URN =		{urn:nbn:de:0030-drops-57851},
  doi =		{10.4230/LIPIcs.ICDT.2016.16},
  annote =	{Keywords: Business Processes, Query Stability}
}

Keywords: Business Processes, Query Stability
Collection: 19th International Conference on Database Theory (ICDT 2016)
Issue Date: 2016
Date of publication: 14.03.2016

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI