Abstract

Users make search on the search engines with the intention of obtaining information for a particular data in a specific domain by inputting a query. After obtaining the query from users, semantic Web mining is performed from large Web database in order to provide a structured output for the requested users. Semantic information retrieval from Web database becomes a challenging issue for the users who are requested with a query. Given user query is optimized to offer better results by performing preprocessing, semantic pattern tree construction, keywords extraction and classification, etc. Therefore, semantically relevant information from the Web server is provided for the requested user queries by identifying the document topic.

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