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In this paper based on agent and semantic web technologies we propose anapproach .i.e., Semantic Oriented Agent Based Search (SOAS), to cope withcurrently existing challenges of Meta data extraction, modeling and informationretrieval over the web. SOAS is designed by keeping four major requirements.i.e., Automatic user request handling, Dynamic unstructured full text reading,Analysing and modeling, Semantic query generation and optimized resultclassifier. The architecture of SOAS is consisting of an agent called PersonalAgent (PA) and five dynamic components .i.e., Request Processing Unit (RPU),Agent Locator (AL), Agent Communicator (AC), List Builder (LB) and ResultGenerator (RG). Furthermore, in this paper we briefly discuss Semantic Web andsome already existing in time proposed and implemented semantic basedapproaches.

Designing a Dynamic Components and Agent based Approach for Semantic Information Retrieval