APQL: A process-model query language

  • Arthur H.M. Ter Hofstede
  • , Chun Ouyang
  • , Marcello La Rosa
  • , Liang Song
  • , Jianmin Wang
  • , Artem Polyvyanyy

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

As business process management technology matures, organisations acquire more and more business process models. The management of the resulting collections of process models poses real challenges. One of these challenges concerns model retrieval where support should be provided for the formulation and efficient execution of business process model queries. As queries based on only structural information cannot deal with all querying requirements in practice, there should be support for queries that require knowledge of process model semantics. In this paper we formally define a process model query language that is based on semantic relationships between tasks in process models and is independent of any particular process modelling notation.

Original languageEnglish
Title of host publicationAsia Pacific Business Process Management : 1st Asia Pacific Conference, AP-BPM 2013, Beijing, China, August 29-30, 2013. Selected Papers
EditorsMinseok Song, M.T. Wynn, Jianxun Liu
Place of PublicationBerlin
PublisherSpringer
Pages23-38
Number of pages16
ISBN (Print)978-3-319-02921-4
DOIs
Publication statusPublished - 2013
Event1st Asia Pacific Conference on Business Process Management (AP-BPM 2013) - Beijing, China
Duration: 29 Aug 201330 Aug 2013
Conference number: 1

Publication series

NameLecture Notes in Business Information Processing
Volume159
ISSN (Print)1865-1348

Conference

Conference1st Asia Pacific Conference on Business Process Management (AP-BPM 2013)
Abbreviated titleAP-BPM 2013
Country/TerritoryChina
CityBeijing
Period29/08/1330/08/13

Funding

Acknowledgements. Song and Wang are supported by the National Basic Research Program of China (2009CB320700), the National High-Tech Development Program of China (2008AA042301), the Project of National Natural Science Foundation of China (90718010), and the Program for New Century Excellent Talents in University of China. ter Hofstede, La Rosa and Polyvyanyy are partly supported by the ARC Linkage Grant “Facilitating Business Process Standardization and Reuse” (LP110100252). In 2010 and 2011, ter Hofstede was a senior visiting scholar of Tsinghua University. NICTA is funded by the Australian Government as represented by the Department of Broadband, Communications and the Digital Economy and the Australian Research Council through the ICT Centre of Excellence program.

Keywords

  • Business process model
  • Business process model query
  • Process model collection
  • Query language

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