Abstract
The semantic web is a vision which captures information from the web and makes it possible to help machines to understand complex human requests. Such intelligence based understanding requires important sources of information to be structured semantically so that the meaningful information can be accessed and provided to the users. The main outcome of the current idea is to derive the development of search engines to provide the users with artificial intelligence experience. The achievement of this idea requires integration of autonomous tools and standards. The technology can be realized to its task potentially by incorporating/deploying intelligent agents in semantic web.
Highlights
The term semantic web (SW) implies an intelligent web [18]
The present development of web demands the delegation of intelligence of web to a smaller but more intelligent community of components known as intelligent agents
Singh et al [18] highlighted the obstacle of World Wide Web (WWW) and proposed an Agent Based Semantic Web Mining System (SWMS)
Summary
The term semantic web (SW) implies an intelligent web [18]. Semantic web brings the idea of structuring information available across the web in a meaningful way improving search mechanism and resulting user satisfaction. The concept of semantic web was introduced by Tim Berners Lee in 2001 It aims that system should enable machine to understand, process on their meaning based complex human requests. It makes information more abundant and improves search mechanisms to result in user‟s satisfaction [22]. To make computers understand meaning of various terms these must be supported by some files containing description of terms along with their relationship with each other This layer aims to support inference drawing to allow query and filtering. The section justifies the incorporation of intelligent approach in the existing model of semantic web
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