Exploiting Semantic Activity Labels to Facilitate Consistent Specialization of Abstract Process Activities

Andreas Bögl, Michael Karlinger, Christoph Georg Schütz, Michael Schrefl, Gustav Pomberger

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

Abstract

Designing business processes from scratch is an intricate and challenging task for process modellers. For this reason, the reuse of process patterns has become an integral part of process modelling in order to deal with recurring design issues in a given domain when modelling new business processes and variants thereof. The specialization of abstract process activities remains a key issue in process pattern reuse. Depending on the intended purpose of process pattern reuse, the specialization of abstract process activities typically ranges from the substitution of abstract process activities with sub-processes to the substitution of activity labels with specialized labels. The specialization of abstract process activities through label specialization has been hardly investigated so far in the business process community. The approach presented in this paper achieves consistent specialization of abstract process activities by ensuring consistent specialization of activity labels through exploitation of semantic activity labels as introduced in previous work. Semantic activity labels encode the linguistic meaning of process activities and thereby facilitate the establishment of consistency criteria based on the implicit semantics captured by activity labels.
Original languageEnglish
Title of host publicationProceedings of the 41st International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2015), Pec pod Snezkou, Czech Republic, January 24-29, 2015
EditorsGiuseppe F. Italiano, Tiziana Margaria-Steffen, Jaroslav Pokorný, Jean-Jacques Quisquater, Roger Wattenhofer
Place of PublicationHeidelberg, Deutschland
PublisherSpringer Verlag
Pages475-485
Number of pages11
Volume8939
ISBN (Electronic)9783662460771
DOIs
Publication statusPublished - Jan 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8939
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of science

  • 102 Computer Sciences
  • 102010 Database systems
  • 102015 Information systems
  • 102016 IT security
  • 102025 Distributed systems
  • 102027 Web engineering
  • 102028 Knowledge engineering
  • 102030 Semantic technologies
  • 502050 Business informatics
  • 503008 E-learning

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Management and Innovation

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