We propose a retrieval method of article-pages by specifying the structural feature of page layout. Traditionally, keyword-oriented retrieval means have been used to select the appropriate article-pages from document databases or necessary data from many accumulated data resources: for example, the retrieval mechanism in Google is most popular and effective. However, keywords may be not applicable to retrieval means required for images because images cannot be always identified explicitly by particular words. Also, keywords are not useful for many foreigners who cannot make use of Japanese keywords familiarly in finding out Japanese materials, or for children who cannot remember the technical/difficult keywords easily because main words or phrases are not yet learned. On the other hand, our method is different from these traditional methods, and mainly focuses on the layout-based positions of non-text components in article-pages such as figures, tables, photographs, etc. Under such a layout-oriented approach, our research objective is to support partial-match search means based on human spatial cognition ability, so as to complement the traditional keyword-oriented means.