Developing knowledge storage and Information retrieval systems for Edaphology

Abstract

Recently Knowledge processing systems which aim for having newlineAutomated intelligent and expert systems has been concentrated by many newlineResearchers They strive to convert available knowledge into useful information newlineto help in improving the productivity and efficiency For this they employ newlineproper knowledge representation knowledge management efficient retrieval newlinealgorithms and other techniques These ensure that the collected raw data is newlinetransformed into information elements The automated systems also aims to newlineevade the problems connected with manual procedures such as discrepancy newlinedelay and information loss Information retrieval is also concerned in this area newlinewhere these fetch the documents or information required for the user from the newlinedatabase For proper retrieval proper organization of the data is required which newlineis accomplished by the use of data structures Information retrieval can provide newlinethe user with useful information in response to the user query newlineDesigning an efficient intelligent system to find the useful information newlinefrom the soil data is a challenging and interesting problem The information newlineretrieved from the system provides the most significant information for the newlineresearchers and the practitioners newline newline