Modelling Task Delegation for Human-Centric eGovernment Workflows - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2009

Modelling Task Delegation for Human-Centric eGovernment Workflows

Khaled Gaaloul
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François Charoy

Résumé

The execution of cross-domain eGovernment applications is a challenging topic. eGovernment organisations are facilitated and conducted using workflow management systems. Workflows automates the management and coordination of organisational or business processes. In the context of eGovernment, what is in many cases described as collaboration appears, however, to be coordination and synchronisation of processes ignoring human-centric interactions. In addition, we observed a tendency, moving away from strict enforcement approaches towards mechanisms supporting exceptions that are difficult to foresee when modelling a workflow. One specific set of mechanisms ensuring human centric interactions and supporting collaboration cross-organisations is task delegation. In this paper we aim to model task delegation for human-centric eGovernment workflows. We do believe that delegation is a solution to support organisational flexibility in human-centric workflow systems, and ensure delegation of authority in access control systems. First, we present a real case study to motivate delegation. Based on this, we define a task delegation model, and analyse its main criteria and requirements within a workflow. In particular, we will focus on the concept of delegation in eGovernment workflows and link it to our case study. Finally, we present delegation protocols to ensure delegation of authority in access control systems based on workflow authorisation constraints.
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Dates et versions

inria-00431459 , version 1 (12-11-2009)

Identifiants

  • HAL Id : inria-00431459 , version 1

Citer

Khaled Gaaloul, François Charoy, Andreas Schaad. Modelling Task Delegation for Human-Centric eGovernment Workflows. 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Governmentd - dg.o´2009, May 2009, Puebla, Mexico. pp.79-87. ⟨inria-00431459⟩
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