Instance-based process matching using event-log information

Han Van Der Aa, Avigdor Gal, Henrik Leopold, Hajo A. Reijers, Tomer Sagi, Roee Shraga

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

Abstract

Process model matching provides the basis for many process analysis techniques such as inconsistency detection and process querying. The matching task refers to the automatic identification of correspondences between activities in two process models. Numerous techniques have been developed for this purpose, all share a focus on process-level information. In this paper we introduce instance-based process matching, which specifically focuses on information related to instances of a process. In particular, we introduce six similarity metrics that each use a different type of instance information stored in the event logs associated with processes. The proposed metrics can be used as standalone matching techniques or to complement existing process model matching techniques. A quantitative evaluation on real-world data demonstrates that the use of information from event logs is essential in identifying a considerable amount of correspondences.

Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering - 29th International Conference, CAiSE 2017
EditorsEric Dubois, Klaus Pohl
PublisherSpringer Verlag
Pages283-297
Number of pages15
ISBN (Print)9783319595351
DOIs
StatePublished - 2017
Externally publishedYes
EventForum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE-Forum-DC 2017 - Essen, Germany
Duration: 12 Jun 201716 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10253 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceForum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE-Forum-DC 2017
Country/TerritoryGermany
CityEssen
Period12/06/1716/06/17

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.

Keywords

  • Event logs
  • Process model matching
  • Process similarity

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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