Knowledge Systems on the Semantic Web

The aim of this paper is to understand problematic of knowledge systems on semantic web. Analyze case studies a cases of usage shown on web portal W3C and create knowledge basis for expert system NEST, which on basis of analysis of case study of case usage will recommend clasification to particular type of knowledge system. The aim is achieved by analysis of case studies and case usages. The result of analysis is to set criteria to case study or case usage. On base of criteria, which are passed to expert system. Expert system will recommend clasification of case study or case usage. Knowledge basis also used for its developement data from dissertation [1], where are knowledge basis already separated into individual categories. Benefit of this work is creation of expert system, which allows user to get recommendation how to determinate type of unknown knowledge system and its field of potentional usage. First two chapters are dedicated to theory of knowledge systems and semantic web. Third chapter explains the steps to usage of analysis and fourth chapter is dedicated to creation of knowledge basis for system NEST