A Framework for Semantic Web Service Discovery and Planning

S. Chaiyakul, K. Limapichat, A. Dixit, E. Nantajeewarawat
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引用次数: 18

Abstract

With the expanse of Internet, Web programmers have wide choice of Web services available to them. A need arises for automatic discovery of required Web services and construction of an appropriate sequence of invocation thereof. In this paper, we present a framework for automation of this task based on currently emerging technologies such as ontological knowledge bases, OWL, OWL-S, WSDL, description logic (DL), etc. Background knowledge ontologies are created based on which semantic meanings of Web services can be given through OWL-S. An agent employs OWL-S API to extract Web service metadata, and applies a DL inference engine, called Racer, for reasoning with the metadata with respect to given background knowledge. Reasoning tasks performed by Racer include profile matchmaking, input/output subsumption testing, and preconditions/effects analysis, which are basic mechanisms for Web services discovery and invocation planning. A prototype system has been implemented
语义Web服务发现与规划框架
随着Internet的扩展,Web程序员有了广泛的Web服务选择。需要自动发现所需的Web服务并构造相应的调用序列。在本文中,我们提出了一个基于当前新兴技术(如本体知识库、OWL、OWL- s、WSDL、描述逻辑(DL)等)的任务自动化框架。在此基础上,可以通过OWL-S给出Web服务的语义含义。代理使用OWL-S API提取Web服务元数据,并应用称为Racer的DL推理引擎,根据给定的背景知识对元数据进行推理。Racer执行的推理任务包括配置文件匹配、输入/输出包容测试和前提条件/效果分析,这些都是Web服务发现和调用规划的基本机制。一个原型系统已经实现
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