Authors:Â Palak Agarwal, Vikas Srivastava
Abstract:Â Data Mining techniques have moved to a new level due to exponential growth of data and users query types in knowledge management systems. As knowledge is an essential and volatile asset and web is the only available hub from where it can be retrieved, most of the search engine techniques focuses on keyword searching and simulating existing results. To achieve more prominent results and relevant URLs for the users query, the problems of crawlers (polysemy and synonymy) must be removed. In this paper, we have focused on removing these existing problems by introducing the concept of adaptive web searching based on structural ontology. Contexts are related with each other on the basis of properties and meta-keywords. Further, simulation of architecture is also shown which provides promising results.
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