If information representativeness is given to an information network, users can easily see what representative information the site has, and it helps in reducing unnecessary time during information search. This paper proposes the generating representative information method which utilizes the degree of coupling of information and the weighted information value in order to solve various problems which occur in the information network. The generating representative information method measures the degree of coupling of the information by utilizing the attribute information and page information expressed on the information network and generates the representative information by calculating the weighted information value of the information network. are also presented.

The purpose of this study is to develop a dynamic DSS (Decision Support System) interfaced with GIS (Geographic Information System) and agriculture information network, In this study, DSS was developed to assist services which required tremendous and real time data in national scale. The data transmitte'd from the local area by the agriculture network were stored in DBMS (Data Base Management System) and analyzed by GIS. GIS and database tools used in this study were ARC/INFO 7.1.1 and INFORMIX 4.0. ACSAS (Agriculture Calamity Service Asist System) by the system prototype was constructed to solve the problem about the drought counterplan service which was to take the responsibility in the Ministry of Agriculture. It was easy to transfer, process, and analyze the information using the system. Specially, the meteological, the reservoir storage rate and the drought counterplan information were spatially analyzed by the functions of GIS.