基于云的工作流管理系统的实时协作和经验重用

Sebastian Görg, R. Bergmann, Sarah Gessinger, Mirjam Minor
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引用次数: 3

摘要

本文探讨了实时工作流协作平台的概念。该工作介绍了基于云的工作流管理系统(WfMS)如何将云计算范式提供的技术特性与开发的资源模型相结合,以实现工作流中经验知识的协作和重用。它基于集成过程和知识管理的原型通用软件系统,并解决了协作工作流建模的概念。工作流重用的概念结合了资源模型与基于案例的推理(人工智能的一个特定领域)共享工作流的能力。特别地,讨论了金融行业流程的一个示例工作流。通过支持协作工作流建模和向大量用户提供专家知识,我们的目标是提高工作流的质量。因此,可以减少工作量,从而促进所有过程涉众的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-Time Collaboration and Experience Reuse for Cloud-Based Workflow Management Systems
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.
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