The specification and enforcement of authorization constraints in workflow management systems
ACM Transactions on Information and System Security (TISSEC) - Special issue on role-based access control
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Oryx --- An Open Modeling Platform for the BPM Community
BPM '08 Proceedings of the 6th International Conference on Business Process Management
An Optimal Approach for Workflow Staff Assignment Based on Hidden Markov Models
OTM '08 Proceedings of the OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: 2008 Workshops: ADI, AWeSoMe, COMBEK, EI2N, IWSSA, MONET, OnToContent + QSI, ORM, PerSys, RDDS, SEMELS, and SWWS
Analyzing Rule-Based Behavioral Semantics of Visual Modeling Languages with Maude
Software Language Engineering
Modeling process-related RBAC models with extended UML activity models
Information and Software Technology
Workflow resource patterns: identification, representation and tool support
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
On the definition and design-time analysis of process performance indicators
Information Systems
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Business process (BP) modelling notations tend to stray their attention from (human) resource management, unlike other aspects such as control flow or even data flow. They not only offer little intuitive languages to assign resources to BP activities, but neither link BPs with the structure of the organization where they are used, so BP models can easily contain errors such as the assignment of resources that do not belong to the organizational model. In this paper we address this problem and define RAL (Resource Assignment Language), a domain-specific language explicitly developed to assign resources to the activities of a BP model. RAL makes BPs aware of organizational structures. Besides, RAL semantics is based on an OWL-DL ontology, which enables the automatic analysis of resource assignment expressions, thus allowing the extraction of information from the resource assignments, and the detection of inconsistencies and assignment conflicts.