A Review on Semantic Web Mining

نویسندگان

  • Amruta Arun Joshi
  • Vrishali A. Chakkarwar
چکیده

Web mining is being a huge and rich data source. Web mining is the process of extracting useful information from server. Some users might be looking at only textual data, whereas some others might be interested in multimedia data. Data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information. We just put some keywords relevant to aim of extraction as a request and we get number of pages indexed as per the information. Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The amount of ontologies and semantic annotations available on the Web is constantly growing. This new type of complex and heterogeneous graph structured data raises new challenges for the data mining community. In this paper we are going to develop the web mining technology which will be based on ontology and decision tree. Keywords—Semantic web mining, ontology learning, association rule mining.

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تاریخ انتشار 2015