| 摘要: |
| 首先分析研究Web 服务描述文档(WSDL 文档)的两大特征——结构特征和参引特征,然后根据各个特征对Web 服务功能语义描述的影响,提出相应的Web 服务表示模型——多向量表示模型.区别于通用文本表示模型,该模型能够显式地表示Web 服务描述文档的本质特征.其中,结构特征语义表现在多向量空间的划分上,参引特征语义映射到子向量模型中特征权重的计算上.提出了基于多向量模型的Web 服务相似度计算方法,并实现了基于该模型的Web 服务发现原型系统.最后,在真实Web 服务描述文档集合上构造了一个具有不完全相关 |
| 关键词: Web 服务 Web 服务发现 WSDL 向量空间模型 不完全信息 平均准确率 |
| DOI：10.3724/SP.J.1001.2011.03887 |
| 分类号: |
| 基金项目:国家自然科学基金(60873097, 90612009); 国家重点基础研究发展计划(973)(2005CB321802); 新世纪优秀人才计划(NCET-06-0926) |
|
| Web Service Discovery by Integrating Structure and Reference Features of Description Documents |
|
WEI Deng-Ping, WANG Ting, WANG Ji
|
|
National Key Laboratory of Parallel and Distributed Processing, College of Computer, National University of Defense Technology, Changsha 410073, China
|
| Abstract: |
| This paper first investigates two main kinds of features of Web service description language (WSDL) documents: the structure features and the reference features. Next, a novel multi-vector model for Web services is introduced, which is distinguished from the general text representation model by the explicit features of Web services. The structure features are represented by multiple vector spaces and the term weighting in the sub-vector is determined by the reference features. A method to compute the similarity between two Web services is proposed and a Web service discovery prototype system based on this new model is implemented. Finally, a Web service discovery test collection is constructed, which has 1576 WSDL documents together with incomplete relevance judgments. The experimental results on this collection show that Web service discovery based on the proposed model is more effective than based on simple vector space model of text with the confidence of 95%. |
| Key words: Web service Web service discovery WSDL vector space model incomplete information average precision |
