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Data-type definition driven dynamic business component instantiation and execution framework and system and method for managing knowledge information

机译:数据类型定义驱动的动态业务组件实例化和执行框架以及用于管理知识信息的系统和方法

摘要

In a complex workflow environment, a data-type-definition (DTD) schema drives a dynamic business component instantiation and execution framework that integrates documents with data and information created by various applications, potentially operating on several different platforms, enabling complex workflow and collaboration to occur over a communication network such as the Internet. The DTD execution language is preferably an industry specific XML-based tag set that defines business component instantiation, execution, input and output parameters, workflow, user profile, and collaboration specifications for a given task or data in a complex workflow process. Business and data processing components available on systems both within and outside the complex workflow system are called upon to provide the processing, interpretation, and transformation functions for the complex workflow system. The results of such processing are then returned to the complex workflow system for integration within the workflow process. The system and method also contemplates the conversion of an extensible markup language (XML) file, such as a WellXML™ file, to data elements that are accessible by a server.
机译:在复杂的工作流环境中,数据类型定义(DTD)模式可驱动动态业务组件实例化和执行框架,该框架将文档与各种应用程序创建的数据和信息集成在一起,并可能在多个不同平台上运行,从而实现复杂的工作流和协作,从而实现发生在诸如Internet之类的通信网络上。 DTD执行语言最好是基于行业的,基于XML的标记集,它为复杂的工作流程中的给定任务或数据定义业务组件实例化,执行,输入和输出参数,工作流程,用户配置文件和协作规范。调用复杂工作流系统内部和外部系统上可用的业务和数据处理组件,以提供复杂工作流系统的处理,解释和转换功能。然后将此类处理的结果返回到复杂的工作流程系统,以集成到工作流程过程中。该系统和方法还预期将可扩展标记语言(XML)文件(例如WellXML™文件)转换为服务器可访问的数据元素。

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