关键词: 信息检索, 知网义原, 相似性计算, 最大权匹配

Abstract: Based on the computation of words-semantic similarity of “How-net”,a new method of document information retrieving based on the model of vector space has been proposed.The basic ideas of the method are that,firstly we compute the similarity between keywords by the words-semantic similarity of “How-net”,and secondly compute the similarity between the query vector and the document vector based on computing the maximum-weight-matching.This algorithm is based on the optimization on overall situation and it might find the maximum sum of each pair terms’ similarity between the query vector and the document vector.The experiment result has demonstrated the validity of the algorithm.

Key words: information retrieval, How-net, similarity computing, maximum-weight-matching