为服务提供自动化工作流:集成AI和数据库技术

M. Huhns, Munindar P. Singh
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引用次数: 26

摘要

工作流是发生在典型业务环境中的信息系统中的结构化活动。这些活动经常涉及多个数据库系统、用户界面和应用程序。传统的数据库系统在任何合理的程度上都不支持工作流。通常,人类必须进行干预,以确保它们的正确执行。我们已经开发了一个基于人工智能技术的架构,可以自动管理工作流。该体系结构在分布式计算环境之上执行。它已被应用于服务供应工作流的自动化;已经开发了一个在这样一个工作流上操作的实现。这项工作推进了Camel项目的目标,即开发集成异构数据库系统的技术。值得注意的是,它将人工智能方法与标准分布式数据库技术结合在一起。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automating workflows for service provisioning: integrating AI and database technologies
Workflows are the structured activities that take place in information systems in typical business environments. These activities frequently involve several database systems, user interfaces, and application programs. Traditional database systems do not support workflows to any reasonable extent. Usually, human beings must intervene to ensure their proper execution. We have developed an architecture based on AI technology that automatically manages workflows. This architecture executes on top of a distributed computing environment. It has been applied to automating service provisioning workflows; an implementation that operates on one such workflow has been developed. This work advances the Camel Project's goal of developing technologies for integrating heterogeneous database systems. It is notable in its marriage of AI approaches with standard distributed database techniques.<>
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