Real-Time Collaboration and Experience Reuse for Cloud-Based Workflow Management Systems

Sebastian Gorg, Ralph Bergmann, Sarah Gessinger, Mirjam Minor
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/65iimf2onnea5mg545qvlbna3m" style="color: black;">2013 IEEE 15th Conference on Business Informatics</a> </i> &nbsp;
In this paper we explore the concept of a realtime 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
more &raquo; ... g. 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cbi.2013.63">doi:10.1109/cbi.2013.63</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wecwis/GorgBGM13.html">dblp:conf/wecwis/GorgBGM13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d7hn62eik5cvfiy2p3hzwj562q">fatcat:d7hn62eik5cvfiy2p3hzwj562q</a> </span>
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