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Blueprint of an Ant-Based Control of Semantic Web

Vijay Rana

Semantic Web brings the idea of structuring information available across the web in a meaningful way improving search mechanisms and thus resulting in user satisfaction. This paper initially explores the literature that has been done to improve the performance of Semantic Web (SW) through Ants where ants are hypothetical sophisticated agents that carry information and moreover have the tendency of learning through experiences. Semantic Web along with Ants creates an environment that can achieve the vision of making node able to understand, relate and use information available in a given situation. The work presents a simple blueprint of ant based control of semantic web and throws the ideas of open challenges for future research.