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基于主题模型的结构化Web服务发现机制
引用本文:陈江锋,于建军.基于主题模型的结构化Web服务发现机制[J].北京航空航天大学学报,2008,34(6):734-738.
作者姓名:陈江锋  于建军
作者单位:1. 北京航空航天大学 软件开发环境国家重点实验室, 北京 100191;
2. 中国科学院 计算机网络信息中心, 北京 100190
基金项目:国家重点基础研究发展计划(973计划)
摘    要:提出了基于主题模型(topic model)的结构化Web服务发现机制.利用LDA(Latent Dirichlet Allocation)生成概率模型,将Web服务(Web service)建模为结构化文本文档.一个文档视作主题的概率分布,主题又由关键词的概率分布组成,从而提供基于主题的Web服务检索.同时,利用Web服务的结构化特性,将Web服务描述文档表示为有向无环图,利用n阶谱核测量Web服务文档的相似度,实现Web服务结构化信息的发现.通过实验分析对比,基于主题模型的结构化Web服务发现机制有效提高了Web服务发现的效率和精确率.

关 键 词:主题模型  Web服务  n阶谱核  服务发现
收稿时间:2007-03-04

Topic model based structural Web services discovery
Chen Jiangfeng,Yu Jianjun.Topic model based structural Web services discovery[J].Journal of Beijing University of Aeronautics and Astronautics,2008,34(6):734-738.
Authors:Chen Jiangfeng  Yu Jianjun
Institution:1. State Key Lab. Software Development Environment, Bejing University of Aeronautics and Astronautics, Beijing 100191, China;
2. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
Abstract:A structural Web services discovery approach based on a topic model was proposed.Each Web service would be modeled as a structural textual document using probabilistic model generated by latent dirichlet allocation(LDA).Every document could be seen as a multinomial random mixture of topics,and each topic had multinomial distribution over
Keywords:,and thus a Web service retrieval based on the topic model was put forward,At the same time,the similar correlations in functionally structural Web services could be modeled as a directed acyclic graph(DAG) and be measured by using a gap-weighted n-spectrum kernel,Finally the experiment results show that several metrics for the classification and selection of services,such as success rate and executes efficiency,were improved via using our approach,Key words: topic model,Web services,n-spectrum kernel,service discovery
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