计算机科学 ›› 2013, Vol. 40 ›› Issue (2): 167-171.

• 软件与数据库技术 • 上一篇    下一篇

基于标签推荐的Mashup服务聚类

黄媛 ,李兵,,何鹏,熊伟,   

  1. (武汉大学软件工程国家重点实验室 武汉 430072) (武汉大学复杂网络研究中心 武汉 430072) (武汉大学计算机学院 武汉 430072)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Mashup Services Clustering Based on Tag Recommendation

  • Online:2018-11-16 Published:2018-11-16

摘要: 聚类Web服务能大大提高W c6服务搜索引擎检索相关服务的能力。ProgrammablcWeb. com是一个很流行 的在线社会Mashup网站。作为基于Web的应用程序,Mashup本质上是开发者提供的Web服务。结合Mashup服 务的描述文档和相应标签提出一种新颖的Mashup服务聚类的方法,此外还提出一种标签推荐的方法来改进服务聚 类的性能。实验结果表明,基于标签推荐的服务聚类方法的聚类精度比其他两种实验方法要高,说明提出的标签推荐 策略有效扩充了标签数较少的Mashup服务,从而带来更多相关标签信息,因而聚类效果更好。

关键词: Mashup,标签,推荐,聚类

Abstract: Clustering Web services would greatly boost the ability of Web service search engine to retrieve relevant ones. hhe ProgrammableWeb. com is a popular online social Mashup site. Mashup as a Wclrbased application is Web services that developers provide. We proposed a novel approach, in which both description documents and tags arc uti- lined for Web service clustering. Furthermore,we presented a tag recommendation strategy to improve the performance of this approach. The experimental results show that the accuracy of tag recommendation-based services clustering is higher than other two methods, which indicates that the tag recommended strategy effectively expands the number of tags of Mashup services with few tags,so introducing more tag information,thus the clustering effect is better.

Key words: Mashup, Tag, Recommendation, Clustering

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!