Abstract
Field note consists of observation notes, locations, dates, drawings and images of fields which were observed by researchers of Area Studies. The note is one of important research resources for Area Studies, because it enables to understand details of the states of the field at the time. Due to progress of Area Studies we have explored some methods and/or techniques to utilize the note efficiently and effectively. In the paper we introduce a method which a scene described in the note can be characterized by text mining technique, and a method which the characterized scene can be represented by semantic web technique.
