Retrieving reuse component based on semantic  

基于语义的构件检索(英文)

作　　者：王燕[1] 陈明[1] 赵建辉[1] 

机构地区：[1]中国石油大学计算机科学与技术系,北京102249

出　　处：《Journal of Southeast University(English Edition)》2007年第3期327-332,共6页东南大学学报（英文版）

基　　金：The National Natural Science Foundation of China(No60072006)

摘　　要：According to the current research status of component retrieval, the component description model based on facet classification is improved by adding semantic features. Furthermore, the component retrieval process model is put forward by combining the domain ontology with the relative concept match algorithm. A detailed illustration of a component reasoning engine and a component classification engine is given and the component classification algorithm is provided by using the Naive Bayes algorithm based on domain ontology. The experimental results show that the recall ratio and the precision ratio are obviously improved by using the method based on semantics, and demonstrate the feasibility and effectiveness of the proposed method.根据构件检索的研究现状,通过增加语义特征,改进了基于刻面分类的构件描述模型.结合领域本体,提出了基于语义的构件检索过程模型及相应的概念语义匹配算法.在基于语义的构件检索过程模型中对其中的构件推理引擎、构件分类引擎的实现进行了详细说明,并给出了贝叶斯分类方法在构件分类中的具体应用.实验表明,基于语义的构件检索方法提高了构件的查全率和查准率,证明了此方法的可行性和有效性.

关 键 词：domain ontology facet classification naive Bayes algorithm component matching component-based software development 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]