摘要
结合本体粗糙集理论,融合粗糙集理论分类处理能力与本体论数据描述能力,提出了一种基于本体粗糙集的个体相似度计算方法,并将其应用于程序代码相似度上。实验结果显示该方法在程序代码相似度度量上具备较好的实际效果,同时也揭示了属性度量和结构度量方法应用上的关系。
Through combining data processing capability of rough set with data describing capability of ontology, an approach to compute individual similarity based on rough ontology is proposed, and it has been applied to program code similarity. Simulation result shows that this approach has good results on program code similarity and reveals the relationship between attribute measure and structure degree similarity.
出处
《重庆邮电大学学报（自然科学版）》
2008年第6期737-741,共5页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
重庆市重点自然科学基金项目(2005BA2003)
重庆邮电大学自然科学基金项目(A2007-27)
关键词
粗糙集
本体
抄袭检测
相似度度量
rough set
ontology
plagiarisms detection
similarity measure
