E-learning approach using semantic web provides relevant and meaningful information to the learner but human mind designs his own cognitive structure of the information which is fuzzy and uncertain. When the knowledge structure of any domain is large and well connected then it is very easy to learn and acquire the semantically connected knowledge. An Elearning approach is designed where the semantic web is made more meaningful by adding human conceptual representation and reasoning mechanism to learn based upon the knowledge, profile and experience of a learner.

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With the rapid growth of the world-wide web,the general purposecrawler and search engine poses scaling challenges. In this content, digital libraries plays vital role as the information available in Digital links belongs to almost every domain. In this paper a Novel Design of Information Retrieval System for Digital Libraries is being proposed. The goal of proposed design is to selectively download pages that are relevant to a pre-defined set of Digital Library. Thus, these areneeded to download this type of information that contains various research documents and other multimedia data.

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