基于标签推荐的Mashup服务聚类

Mashup Services Clustering Based on Tag Recommendation

聚类Web服务能大大提高Web服务搜索引擎检索相关服务的能力。ProgrammableWeb.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。

Clustering Web services would greatly boost the ability of Web service search engine to retrieve relevant ones. The ProgrammableWeh. corn is a popular online social Mashup site. Mashup as a Web-based application is Web services that developers provide. We proposed a novel approach, in which both description documents and tags are uti- lized 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.