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The extraction of information from the web is dramatically important due to the immense growth of the World Wide Web. So, there is a need of techniques to extract the information from the web in a semantic way. Recent researches are concentrating on user background knowledge for personalized web information gathering using the ontology mining method. Many 2D ontology mining method that discovered the interesting and on-topic knowledge from the concepts, semantic relations, and instances in ontology are introduced. In this paper, the authors have planned to develop a model for web information gathering using ontology mining method. Here, the web documents will be extracted from the web and then, the concept from the web documents are identified.
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