Developed an Intelligent Knowledge Representation Technique Using Semantic Web Technology

Semantic web offers a smarter web service which synchronizes and arranges all the data over the web in a disciplined pattern. In data mining over the web, accuracy of selecting necessary data as user demand and pick them for output counts as a major key challenge from long ago. Our approach contributes a complete and automatic mapping of data over web3. 0 through ontology and accesses them by intelligent web agent. The agent offers all possible output related to user request, from which user could find desired information. When a user has insufficient data parameters to search, they can gain knowledge from the relational outputs provided by the agent and thus semantic web mining enables unknown knowledge acquisition or discovery. Here, in this paper we briefly illustrate and discuss the architecture of semantic web, then propose a model for web mining to discover knowledge under a framework of agent, and finally discusses the ways, how agent finds out user query related nodes from ontology.