Knowledge Management and Data Classification in Pellucid

The main aim of the Pellucid project is to develop a platform based on the multi-agent technology for assisting public employees in their organization. This paper deals with one of many problems associated with building such a system. There is the problem of classification and identification of required information for agent’s performance. Pellucid agents use historical experience and information to assist newly arriving employees, therefore searching for some specific data from the database is a routine task that they have often to do. This paper presents methods for encoding data and creating the database, so that agents can have an easy access to the required information. Furthermore, two methods applicable with every type of database for classification and selection of historical information are presented