Automatically Annotating Business Process Models with Ontology Concepts at Design-Time

Riehle Dennis M, Jannaber Sven, Delfmann Patrick, Thomas Oliver, Becker Jörg

Research article in edited proceedings (conference) | Peer reviewed

Abstract

In business process modelling, it is known that using a consistent labelling style and vocabulary improves process model quality. In this regard, several existing approaches aim at the linguistic support for labelling model elements. At the same time, domain-specific ontologies have been proposed and used to capture important process-related knowledge. However, these two areas are largely disconnected up to now. Although some research suggests annotating ontology concepts to process models, for instance, to interpret and reason about a process model, annotation has not yet gained traction in practice since it still has to be done in a highly manual effort. We thus provide an automated, language-independent methodology for using labelling assistance functionalities to identify and annotate relevant ontology concepts to process model elements using a four-step procedural model.

Details about the publication

Publisherde Cesare Sergio, Frank Ulrich
Book titleAdvances in Conceptual Modeling - ER 2017 Workshops
Page range177-186
Title of seriesLecture Notes in Computer Science
Volume of series10651
StatusPublished
Release year2017
Language in which the publication is writtenEnglish
ConferenceInternational Conference on Conceptual Modeling (ER 2017), Valencia, Spain, undefined
DOI10.1007/978-3-319-70625-2_17
Link to the full texthttp://pub.dennisriehle.de/2017/11/Riehle%20et%20al.%20-%20Automatically%20Annotating%20Business%20Process%20Models.pdf
Keywordsprocess models; ontology; automatic annotation; analysis

Authors from the University of Münster

Becker, Jörg
European Research Center for Information Systems (ERCIS)
Chair of Information Systems and Information Management (IS)
Delfmann, Carsten Patrick
Chair of Information Systems and Information Management (IS)
Riehle, Dennis
Chair of Information Systems and Information Management (IS)