Searching business process repositories using operational similarity

Maya Lincoln, Avigdor Gal

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

Abstract

Effective retrieval of relevant know-how segments from business process repositories can save precious employee time and support non-expert users in locating and reusing process data. We present a methodology for searching repositories and retrieving relevant process segments, using business logic that is extracted from real-life process models. The analysis of a process repository enables the construction of three taxonomies with which it is possible to process the search intention in operational terms. We tested the method on the Oracle ERP Business Process Model (OBM), showing the approach to be effective in enabling the search of business process repositories.

Original languageEnglish
Title of host publicationOn the Move to Meaningful Internet Systems, OTM 2011 - Confederated International Conferences
Subtitle of host publicationCoopIS, DOA-SVI, and ODBASE 2011, Proceedings
Pages2-19
Number of pages18
EditionPART 1
DOIs
StatePublished - 2011
Event10th Confederated International Conferences on On the Move to Meaningful Internet Systems, OTM 2011: CoopIS, DOA-SVI, and ODBASE 2011 - Hersonissos, Crete, Greece
Duration: 17 Oct 201121 Oct 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7044 LNCS

Conference

Conference10th Confederated International Conferences on On the Move to Meaningful Internet Systems, OTM 2011: CoopIS, DOA-SVI, and ODBASE 2011
Country/TerritoryGreece
CityHersonissos, Crete
Period17/10/1121/10/11

Keywords

  • Business process repositories
  • Business process search
  • Dynamic segmentation of process models

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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