Real-Time Collaboration and Experience Reuse for Cloud-Based Workflow Management Systems. Görg, S., Bergmann, R., Gessinger, S., & Minor, M. In 2013 IEEE 15th Conference on Business Informatics, pages 391–398, July, 2013.
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In this paper we explore the concept of a real-time workflow collaboration platform. The work presents how a cloud-based Workflow Management System (WfMS) combines the technologic features which are offered by the cloud computing paradigm with a developed resource model for collaboration and reuse of experiential knowledge in workflows. It is based on a prototypical generic software system for integrated process and knowledge management and addresses the concept for collaborative workflow modeling. The concept for the reuse of workflows combines the ability of the resource model to share workflows with Case-Based Reasoning, a specific field of Artificial Intelligence. In particular, a sample workflow of a process in the financial industry is discussed. By enabling collaborative workflow modeling and by providing expert knowledge to large group of users, we aim at the improvement of the quality of workflows. Consequently, workload can be reduced, thus facilitating the work of all process stakeholders.
@inproceedings{gorg_real-time_2013,
	title = {Real-{Time} {Collaboration} and {Experience} {Reuse} for {Cloud}-{Based} {Workflow} {Management} {Systems}},
	doi = {10.1109/CBI.2013.63},
	abstract = {In this paper we explore the concept of a real-time workflow collaboration platform. The work presents how a cloud-based Workflow Management System (WfMS) combines the technologic features which are offered by the cloud computing paradigm with a developed resource model for collaboration and reuse of experiential knowledge in workflows. It is based on a prototypical generic software system for integrated process and knowledge management and addresses the concept for collaborative workflow modeling. The concept for the reuse of workflows combines the ability of the resource model to share workflows with Case-Based Reasoning, a specific field of Artificial Intelligence. In particular, a sample workflow of a process in the financial industry is discussed. By enabling collaborative workflow modeling and by providing expert knowledge to large group of users, we aim at the improvement of the quality of workflows. Consequently, workload can be reduced, thus facilitating the work of all process stakeholders.},
	booktitle = {2013 {IEEE} 15th {Conference} on {Business} {Informatics}},
	author = {Görg, S. and Bergmann, R. and Gessinger, S. and Minor, M.},
	month = jul,
	year = {2013},
	keywords = {cloud computing, workflow, artificial intelligence, workflow management software, Cloud, Case-based reasoning, experience reuse, Computational modeling, workflow execution, knowledge management, Unified modeling language, cbr, cloud-based workflow management system, Collaboration, collaborative workflow modeling, Engines, experiential knowledge, expert knowledge, financial industry, generic software system, groupware, Permission, Prototypes, real-time workflow collaboration platform, resource model, technologic features, WfMS, workflows quality, workflows reuse},
	pages = {391--398},
	file = {IEEE Xplore Abstract Record:C\:\\Users\\Marcel\\Zotero\\storage\\4BZBSMB5\\articleDetails.html:text/html},
}

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