Knowledge System manages a process that helps organizations to become more competitive by enabling them to operate more effectively. KMS consists of several sub-system knowledge portal collaboration server, knowledge map, extractor, etc. Knowledge map is used to organize the knowledge index to search and navigate the knowledge base. But traditional KMS provides a simple directory-based knowledge map. This map structure is developed from the structure of the document index of Electronic Document Management System. So, this directory-based knowledge map can not provide the associative relationship between topics (or kowledge items). In this paper, we proposes a topic map based kowledge map with the semantic links between the topics in that map. Using this map we represents the hierarchical and associative relationships between the topics.