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Using AI and semantic web technologies to attack process complexity in open systems

机译：使用AI和语义Web技术来攻击开放系统中的流程复杂性

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Recently many vendors and groups have advocated using BPEL and WS-BPEL as a workflow language to encapsulate business logic. While encapsulating workflow and process logic in one place is a sensible architectural decision, the implementation of complex workflows suffers from the same problems that made managing and maintaining hierarchical procedural programs difficult. BPEL lacks constructs for logical modularity such as the requirements construct from the STL [STL 2003, Introduction to the STL. Available from: < http://www.sgi.com/tech/stl/stL.introduction.html > .] or the ability to adapt constructs like pure abstract classes for the same purpose. We describe a system that uses semantic web and agent concepts to implement an abstraction layer for BPEL based on the notion of Goals and service typing. AI planning was used to enable process engineers to create and validate systems that used services and goals as first class concepts and compiled processes at run time for execution.
机译：最近，许多供应商和组织都提倡使用BPEL和WS-BPEL作为工作流语言来封装业务逻辑。虽然将工作流和流程逻辑封装在一个地方是明智的架构决策，但是复杂工作流的实现也遇到了同样的问题，这些问题使管理和维护层次化的程序程序变得困难。 BPEL缺少逻辑模块的构造，例如STL的需求构造[STL 2003，STL简介。可从以下网址获得：。]或出于相同目的而适应诸如纯抽象类之类的构造的能力。我们描述了一个基于目标和服务类型的概念的系统，该系统使用语义Web和代理概念来实现BPEL的抽象层。通过AI规划，流程工程师可以创建和验证将服务和目标用作一流概念的系统，并在运行时编译流程以执行。

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