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An Integration of Semantically Enabled Service Oriented Architectures and Agent Platforms

机译：语义支持的面向服务的体系结构和代理平台的集成

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The capability to provide on-demand service access for SMEs can further reduce costs and allow companies to concentrate investments on their core businesses which in turn facilitates the overall competitive advantage. In the FP7 European Project COIN, a platform for supporting SMEs is developed which combines the flexibility of an execution environment for Semantic Web services with agent-based service compositions. This paper presents an approach to integrate an implementation of a Semantic Web service platform with an agent platform. One major benefit of the combination is that through this the potential of agent systems, most notably flexibility, can be tapped. An obstacle is the integration of dynamically discovered services which often cannot be used by agents because of interoperability problems (e.g. data heterogeneity). By delegating this task to a Semantically Enabled Service Oriented Architecture (SESA), the agent platform can concentrate on coordination tasks. Coordination tasks include executing predefined compositions of services but also automatic compositions of semantic services by applying AI planning techniques, in particular by transforming service descriptions into the Planning Domain Definition Language (PDDL). The integration approach is motivated and described in the context of a high-level scenario coming from the area of enterprise interoperability.
机译：为中小企业提供按需服务的能力可以进一步降低成本，并使公司将投资集中在其核心业务上，从而促进整体竞争优势。在FP7欧洲项目COIN中，开发了一个支持SME的平台，该平台将语义Web服务的执行环境的灵活性与基于代理的服务组合相结合。本文提出了一种将语义Web服务平台的实现与代理平台集成的方法。这种结合的一个主要好处是可以通过它挖掘代理系统的潜力，尤其是灵活性。障碍是集成动态发现的服务，由于互操作性问题（例如，数据异质性），代理通常无法使用它们。通过将该任务委托给语义支持的面向服务的体系结构（SESA），代理平台可以集中精力进行协调任务。协调任务包括通过应用AI计划技术，特别是通过将服务描述转换为规划域定义语言（PDDL），来执行服务的预定义组合以及语义服务的自动组合。集成方法是在来自企业互操作性领域的高级方案的背景下进行激励和描述的。

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