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.

Type de conférence:
full paper
Economie et Services
HEG VS HES-SO Valais-Wallis - Haute Ecole de Gestion & Tourisme
Institut Informatique de gestion
Adresse bibliogr.:
Belfast, Ireland (UK), 29-30 October 2014
Belfast, Ireland (UK)
29-30 October 2014
8 p.
Publié dans
Proceedings of the eChallenges e-2014
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