z-logo
open-access-imgOpen Access
BBO: BPMN 2.0 Based Ontology for Business Process Representation
Author(s) -
Amina Annane,
Nathalie Aussenac-Gilles,
Mouna Kamel
Publication year - 2019
Publication title -
proceedings of the 20th european conference on knowledge management
Language(s) - English
Resource type - Conference proceedings
DOI - 10.34190/km.19.113
Subject(s) - business process model and notation , computer science , ontology , business process , business process modeling , representation (politics) , process (computing) , business process management , process modeling , software engineering , programming language , work in process , engineering , operations management , politics , political science , law , philosophy , epistemology
Any industrial company has its own business processes, which is a number of related tasks that have to be executed to reach well-defined goals. In order to analyze, improve, simulate and automate these processes, it is essential to represent them in a formal way. The activity of representing business processes is known as Business Process Modelling(BPM); it is an active research area that attracts more and more attention with the emergence of Industry 4.0. Semantic Web technologies, especially ontologies, are promising means to advance BPM and to realize the Industry 4.0 vision. In this scope, we developed the BBO (BPMN 2.0 Based Ontology) ontology for business process representation, by reusing existing ontologies and meta-models like BPMN 2.0, the state-of-the-art meta-model for business process representation.We evaluated BBO using schema metrics, which showed that it was a deep and rich ontology with a variety of relationships. Thanks to a use case,we illustrated the ability of BBO to represent real business processes in a fine-grained way and to express and answer the competency questions identified at the specification stage.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom