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.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 email@example.com
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 firstname.lastname@example.org