Abstract:

To solve the problem of Web service about intelligence and personality, a program mining system framework was designed and implemented through the introduction of domain ontology and user interest. Component was described using ontology and feature, and a component retrieval framework based on multirepository and an algorithm for retrieving associated components were presented. Then a component retrieval system was given, and an instance with components in E-Commerce field proved validity compared with the retrieval methods based on keywords and facet. The experiments show that the method has higher precision and recall than others for large-scale components library.

摘要：

针对Web服务存在的智能化和个性化等问题,引入领域本体和用户兴趣,设计并实现了程序挖掘系统框架。利用本体特征描述构件,提出了一种基于多知识库的构件检索方法和关联构件检索算法,开发了构件检索系统,并以E-Commerce领域内构件资源为实例,与关键词和刻面检索机制相比较,验证了该检索方法的有效性。实验结果表明,该方法对于大规模构件库具有较好的查全率和查准率。

关键词: 主动服务;程序挖掘;领域本体;本体特征领域模型;用户兴趣模型