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This paper introduces a kind of semantic computation and presents how tocombine it into our Chinese Question-Answering (QA) system. Based on two kinds of languageresources, Hownet and Cilin, we present an approach to computing the similarity and relevancybetween words. Using these results, we can calculate the relevancy between two sentences andthen get the optimal answer for the query in the system. The calculation adopts quantitativemethods and can be incorporated into QA systems easily, avoiding some difficulties in conven-tional NLP (Natural Language Processing) problems. The experiments show that the resultsare satisfactory.