摘要
如何在大量的服务集合中准确快速地发现服务是服务应用的关键。针对传统的基于关键字的服务发现方式存在召回率和查准率低等缺点,提出了基于服务访问日志的服务发现方法。该方法通过挖掘服务访问日志,对查询词进行扩展,选择最优服务,并查找尽可能相关的服务,以达到优化的目的。实验结果表明,该方法在准确率和召回率上相对于基于关键字的服务发现有明显提高。
How to find service accurately and quickly is the key of the service application.Due to the low recall and low precision of the traditional service discovery based on keyword,this paper proposed the new service discovery based on service access log.This method optimizes the traditional service discovery by mining the service access log,expanding the query,choosing the best service and finding the possible related services.The experiment shows that this method has higher recall and higher precision compared with the service discovery based on keyword.
出处
《计算机科学》
CSCD
北大核心
2012年第9期152-154,共3页
Computer Science
基金
重庆市自然科学基金项目(CSTC
2010BB2244)
中央高校基本科研业务费(CDJX-S11181161)资助