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First, we extract target words from attributes in specifications for the acquisition process and then vectorize the words using words in their value field. Next we compress the vector space by using Latent Semantic Indexing (LSI). Finally, we classify the words by using a k<\/jats:italic>\u2010means method. The k<\/jats:italic>\u2010means methods have some problems, such as initial clusters in the first step and the number of appropriate clusters. We solve the problems by using domain\u2010knowledge and statistical information. \u00a9 2007 Wiley Periodicals, Inc. Syst Comp Jpn, 38(12): 25\u201336, 2007; Published online in Wiley InterScience (www.interscience. wiley.com<\/jats:ext-link>). 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