摘要
针对现有大多数基于语义的Web服务发现方法实施难度大,实用性不强的问题,提出了一种基于WSDL-S描述的轻量级语义Web服务匹配模型。该模型最大的特点是只需用户输入简单的服务查询字符串就能自动实现Web服务的匹配和调用。服务匹配经过领域本体匹配和基于WordNet词典的同义词匹配两个步骤,特别是领域本体匹配过程中的学习模块能有效提高系统性能。实验结果表明,该系统性能提高在20%到82%之间。
A model for lightweight semantic web service matching based on web service description language for semantics （WSDL-S） is proposed according to the problem of most of current semantic-based web service discovery methods that is of great inconvenience to be used and to be practiced. This model is characteristic of automatic matching and invocation of web services on the basis of simple user query string. The process of service matching consists of domain-specific ontology matching and thesaurus matching based on WordNet dictionary, especially a self-learning module in the former step can improve performance efficiently. A serial of experiments illustrate the module can enhance the efficiency of the system by a range of 20%82%.
出处
《计算机工程与设计》
CSCD
北大核心
2010年第9期2147-2150,共4页
Computer Engineering and Design
基金
河南省科技厅基础与前沿技术研究基金项目(092300410160)
河南省重大科技攻关基金项目(092102110274)
