摘要
概念相似度研究是知识表示以及信息检索领域中的一个重要内容。根据概念之间错综复杂的关系,可将本体结构看成一个有向无环图。从多个角度出发考虑各种影响有向边权重的因素,通过计算有向边在本体层次图中的相对重要性计算本体中任意两概念的语义距离,由此得到它们的语义相似度。实验结果表明:该方法具有很高的效率。
Research on concept similarity is very important in knowledge representation and information retrieval.According to the complex relationships of concepts,the ontology structure can be seen as a non-loop directed graph.Considering all kinds of factors affecting the weight of edge from many perspectives,we gained the semantic distance of arbitrary two concepts by computing the weight of the directed edge in ontology level graph.In this way,the semantic similarity of them was obtained.The experiment result shows that this method is effective.
出处
《苏州科技学院学报（自然科学版）》
CAS
2011年第2期45-49,共5页
Journal of Suzhou University of Science and Technology （Natural Science Edition）
基金
国家自然科学基金资助项目(2009SQRZ205)
关键词
本体
语义亏损
语义距离
语义相似度
ontology
semantic loss
semantic distance
semantic similarity
