The business process modelling ontology

Authors:
Liliana Cabral;Barry Norton;John Domingue
Affiliations:
KMi, The Open University, Milton Keynes, UK;KMi, The Open University, Milton Keynes, UK;KMi, The Open University, Milton Keynes, UK
Venue:
Proceedings of the 4th International Workshop on Semantic Business Process Management
Year:
2009

Citing 7
Cited 1

Workflow Patterns

Distributed and Parallel Databases
Semantic Business Process Management: A Vision Towards Using Semantic Web Services for Business Process Management

ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
Enabling Semantic Web Services: The Web Service Modeling Ontology

Enabling Semantic Web Services: The Web Service Modeling Ontology
Framework for Semantic Web Process Composition

International Journal of Electronic Commerce
Ontology-Based Translation of Business Process Models

ICIW '09 Proceedings of the 2009 Fourth International Conference on Internet and Web Applications and Services
On the suitability of BPMN for business process modelling

BPM'06 Proceedings of the 4th international conference on Business Process Management
Expressing business process models as OWL-S ontologies

BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops

Enhancing telecommunication business process representation and integration with ontologised industry standards

Proceedings of the 4th International Workshop on Semantic Business Process Management

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we describe the Business Process Modelling Ontology (BPMO), which is part of an approach to modelling business processes at the semantic level, integrating knowledge about the organisational context, workflow activities and Semantic Web Services. We harness knowledge representation and reasoning techniques so that business process workflows can: be exposed and shared through semantic descriptions; refer to semantically annotated data and services; incorporate heterogeneous data though semantic mappings; and be queried using a reasoner or inference engine. In this paper we describe our approach and evaluate BPMO through a use case.