Matching business process models using positional passage-based language models

Matthias Weidlich, Eitam Sheetrit, Moisés C. Branco, Avigdor Gal

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

20 Scopus citations

Abstract

Business operations are often documented by business process models. Use cases such as system validation and process harmonization require the identification of correspondences between activities, which is supported by matching techniques that cope with textual heterogeneity and differences in model granularity. In this paper, we present a matching technique that is tailored towards models featuring textual descriptions of activities. We exploit these descriptions using ideas from language modelling. Experiments with real-world process models reveal that our technique increases recall by up to factor five, largely without compromising precision, compared to existing approaches.

Original languageEnglish
Title of host publicationConceptual Modeling - 32th International Conference, ER 2013, Proceedings
Pages130-137
Number of pages8
DOIs
StatePublished - 1 Dec 2013
Externally publishedYes
Event32nd International Conference on Conceptual Modeling, ER 2013 - Hong Kong, China
Duration: 11 Nov 201313 Nov 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8217 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference32nd International Conference on Conceptual Modeling, ER 2013
Country/TerritoryChina
CityHong Kong
Period11/11/1313/11/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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