Semantic based auto-completion of business process modelling in egovernment
So far, the semantic business process modelling is gaining in importance mainly due to the advances in the domain of semantic web technologies, which help enhancing, the modelling issues of the business process management life cycle. The linked data approach becomes interesting to apply on Business Processes to enrich them with information from diverse sources and link them to those sources. The aim of our project is to enhance the phase of process modelling of Swiss eGovernment public processes by suggesting to the modeller process fragments for auto-completion from a semantic repository. Created processes are linked and semantically enriched with ontology concepts related to the domain of public sector and eGovernment that will enhance query results in the repository as well as improve process documentation. We focus on linking the processes to the public sector standards.
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