Agents for efficient and optimal search semantic web

Abstract

All advances in the field of science and technology aim at one main purpose of providing humans as much convenience as possible. To contribute towards this aim, many automation techniques have been developed in various fields to achieve quality performance with minimum human intervention. World Wide Web developed in 1980s is the universe of network-accessible information. But most of the Web's content today is designed for humans to read, not for computer programs to manipulate meaningfully. Computers can parse Web pages for layout and routine processing but in general, computers have no reliable way to process the semantics. The World Wide Web can be automated by putting semantics in it that can be understood by the computer programs thus enabling them to act on users’ behalf resulting into a new form of web called Semantic Web. Mobile agents are programs that can autonomously travel across a network and perform tasks on machines that provide agent hosting capability. The use of Mobile Agent reduces network load as instead of downloading large amount of data for processing, the processing is transferred to where data lies. In the proposed project, the Mobile Agent searches for a job on user’s behalf on Semantic Web. The user provides it with his job preferences, on the basis of which the Mobile Agent searches on the Semantic Web, returning very precise and refined results to the user instead of the plethora of information which is returned in case of conventional search engines.