CAJ | 학술논문

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.
운제조배경하적복무필배구유복잡성、해량성,인이수요고효적필배산법래제고향응도.이왕적기우본체적어의검색산법,왕왕지중시결과적사전솔화사준솔,불능유효만족운제조배경하적해량수거처리적효솔요구.문중장기우어의거리적어의상사도산법응용도운제조배경하적복무필배중,재만족사준솔화사전솔적동시,통과설치상응적과려기,겁대감소료불필요적필배과정.실험결과표명본산법흔호지만족료운제조배경하복무수색적사전솔화효솔요구.
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.