The invention relates to the field of noumenon learning, in particular to a noumenon concept attribute learning method based on Web information. By means of the technical scheme, Web serves as a language database, a language pattern is built to serve as a query set of a Google search engine, webpage fragment and corresponding source website URL are extracted to build a candidate concept attribute word bank, an URL built text set of candidate works serves as LAD input, training parameters of an LDA model are obtained by adopting a Gibbs sampling method, an attribute candidate bank is trimmed and combined according to operation results of the LDA model, and a final concept attribute work set can be determined. The noumenon concept attribute learning method of Web information can accurately and effectively obtain a concept attribute set in a noumenon, and accordingly, automatic or semiautomatic body building can be possible.