关键词: 语义相似度, 内在信息量, 有向无环图

Abstract: Measuring semantic similarities of terms is a key issue in many research fields. This paper proposed a method based on the Directed Acyclic Graphs (DAG) of terms and the intrinsic information content of terms to measure the semantic similarities of terms. It first calculated the sub-graphs of two terms based on the directed acyclic graph, and then calculated the intersection and union of the sub-graphs. The semantic similarity of two terms is the ratio of the total intrinsic information content of terms in the intersection to the total intrinsic information content of terms in the union. The experimental results show that the method has a higher degree of accuracy.

Key words: Semantic similarity, intrinsic information content, DAG