Enhancing business process modelling for e-government processes using semantic web technologies and linked data principles

Maalouf, Eliane (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Sokhn, Maria (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

Semantic Web technologies are being applied more and more in business context applications. The domain of Business Process Management (BPM) is no exception. Additionally, Linked Data principles become interesting to apply in this context as well to enrich processes with information from more diverse sources. We aim to apply Semantic Web technologies and Linked Data principles to enhance Business Process modelling of Swiss e-Government public processes. To favour the reuse of processes from a process repository, the modelling tool will assist the user while modelling through auto completion, process translation, decomposition and annotation. Annotations on processes will allow linking those processes to ontology concepts related to the cyber administration standards. This paper will focus on translating processes to Resource Description Framework (RDF) and the creation of the data links, as well as process translation from German to French.


Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Belfast, Ireland (UK), 29-30 October 2014
Date:
Belfast, Ireland (UK)
29-30 October 2014
2014
Pagination:
8 p.
Published in:
Proceedings of the eChallenges e-2014
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2015-10-30, last modified 2019-06-11

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