关键词: 语义相关度, 语义相似度, 算法, 搜索

Abstract: Semantic relatedness plays an important part in numerous occasions especially in natural language processing area as it has the ability to mimic human judgment.Current important methods are based on the hierarchy of WordNet，which result in restricted calculation objects and language，moreover，the accuracy is not satisfied.This paper presents a semantic relatedness calculation method by considering number of returned web pages which resulted from searching combination of measured words in a searching engine.It is based on the assumption that words appear in a same web page have some relatedness.The searching engine based semantic relatedness method doesn’t have the limitation on part of speech and language.Experimental results show the method is better than all the current important methods，and the accuracy can reach over eighty percent.

Key words: semantic relatedness, semantic similarity, algorithm, Web search