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  • 标题:SEMANTIC WEB MINING: OPTIMUM APPROACH
  • 本地全文:下载
  • 作者:Mamta ; Dr. Vijay Rana
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2017
  • 卷号:8
  • 期号:3
  • 页码:383-388
  • 出版社:Engg Journals Publications
  • 摘要:With the explosive growth of the web, the users need assistance of search engines and automatic personalizationtools for discovering relevant content. In particular, a web user can find documents about a specific topic bysubmitting a query to a search engine and clicking on the results [26]. Web search is helpful when the users havea clear idea of what they want; however the existing centralized platform and usually a large server can’t ensurethe scalability, non-redundancy and interpretability of information provided to users [21]. To achieving thisinteroperability between dissimilar information systems is extremely tedious, complex and error-prone task.Therefore the need for research activities in web management & enhancements by developing a standard,flexible but intelligent, adaptive and distributed framework for the support of heterogeneous infrastructure isapparent. The current scenario demands the delegation of intelligence of web to a smaller but more intelligentcommunity of components known as Web Mining and Semantic Web.
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