A multi-document summarization method based on sub topic partition and user’s query is described in this paper. The similarity of sentences is measured by a thesaurus dictionary. Sub topics are found by sentence clustering and sorted by user’s query. Then sentences from all sub topics are selected by using a dynamic strategy of scoring the sentences. The experiment result indicates that the summarization has less redundancy and more information.