基于用户社群关系的Web服务发现研究

田浩; 樊红; 杜武

doi:10.11959/j.issn.1000-436x.2015255

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基于用户社群关系的Web服务发现研究

学术论文 | 更新时间：2024-06-05

- 基于用户社群关系的Web服务发现研究
- Research on Web service discovery based on user community relations
- 通信学报 2015年36卷第10期页码：28-36
- 作者机构：
  
  1. 武汉大学测绘遥感信息工程国家重点实验室，湖北武汉430079
  2. 湖北经济学院信息工程学院，湖北武汉 430205
- 作者简介：
  
  [ "田浩（1977-），男，湖北赤壁人，博士，湖北经济学院副教授，主要研究方向为网络与通信、语义Web。" ]
  [ "樊红（1967-），女，湖南益阳人，武汉大学教授、博士生导师，主要研究方向为GIS应用、语义Web等。" ]
  [ "杜武（1987-），男，江西南昌人，武汉大学博士生，主要研究方向为语义Web、并行与分布式系统等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(41471323)
- DOI：10.11959/j.issn.1000-436x.2015255
  中图分类号： TP393
- 网络首发：2015-10，
  
  纸质出版：2015-10-25
- 稿件说明：
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田浩, 樊红, 杜武. 基于用户社群关系的Web服务发现研究[J]. 通信学报, 2015,36(10):28-36.

Hao TIAN, Hong FAN, Wu DU. Research on Web service discovery based on user community relations[J]. Journal on Communications, 2015, 36(10): 28-36.
田浩, 樊红, 杜武. 基于用户社群关系的Web服务发现研究[J]. 通信学报, 2015,36(10):28-36. DOI： 10.11959/j.issn.1000-436x.2015255.

Hao TIAN, Hong FAN, Wu DU. Research on Web service discovery based on user community relations[J]. Journal on Communications, 2015, 36(10): 28-36. DOI： 10.11959/j.issn.1000-436x.2015255.

摘要

Web服务发现是Web应用研究中的关键问题。研究了多个用户彼此之间的社群关系对Web服务发现结果的影响，将用户之间的社群关系分解为偏好关系、聚类关系和信任关系，给出了这3个关系的形式化方法。基于形式化后的社群关系提出了一个差分式服务发现策略，构建了一个基于用户社群关系的 Web 服务发现系统框架，按照Web服务与用户兴趣背景相关性由强到弱的原则来逐步检索或推荐候选Web服务以产生最终结果。实验表明，该方法能有效提高服务发现的效率和查准率。

Abstract

Web service discovery was the key problem in the study of the Web application.Multiple user community relations between each other on the result of Web service discovery was studied

the user community relations was decomposed into predilection relation

clustering and trust relation

while describing the methods of formalization.Based on the formalized community relations a differential service discovery strategy was put forward

a Web service discovery system framework was built

which can retrieve or recommend candidate Web services step by step to produce the final result according to the “from strong to weak” principle in terms of the correlation between Web service and the user interest background.The experimental results show that proposed method can effectively improve the efficiency and precision of Web service discovery.

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references

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