摘要
云制造背景下的服务匹配具有复杂性、海量性,因而需要高效的匹配算法来提高响应度。以往的基于本体的语义检索算法,往往只重视结果的查全率和查准率,不能有效满足云制造背景下的海量数据处理的效率要求。文中将基于语义距离的语义相似度算法应用到云制造背景下的服务匹配中,在满足查准率和查全率的同时,通过设置相应的过滤器,极大减少了不必要的匹配过程。实验结果表明本算法很好地满足了云制造背景下服务搜索的查全率和效率要求。
With the complexity and huge amount of service mapping based on cloud manufacturing background, an effective service map ping algorithm is needed to improve the response. Most service searching methods just focus on accuracy and recall, which can＇ t meet the need of high efficiency based on cloud manufacturing background. A semantic similarity algorithm based on semantic distance is applied to service matching under cloud manufacturing background. The algorithm can reduce unnecessary mappings by setting a filter,which sat isfies the need of service searching based on cloud manufacturing background. Experiment demonstrates the algorithm can meet the re quirements of accuracy and recall.
出处
《计算机技术与发展》
2013年第3期41-44,共4页
Computer Technology and Development
基金
国家"863"云制造主题项目(2011AA040501)
国家自然科学基金资助项目(70871033)
安徽省教育自然科学重点项目(KJ2011A006)
关键词
本体
云制造
服务匹配
ontology
cloud manufacturing
services matching
