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文章基本信息

  • 标题:Exploring the Relevance of Search Engines: An Overview of Google as a Case Study
  • 作者:Ricardo Beltrán-Alfonso ; Andres Torres-Tautiva ; Paulo Alonso Gaona-García
  • 期刊名称:International Journal of Interactive Multimedia and Artificial Intelligence
  • 印刷版ISSN:1989-1660
  • 出版年度:2017
  • 卷号:4
  • 页码:72-79
  • DOI:10.9781/ijimai.2017.4410
  • 出版社:ImaI-Software
  • 摘要:The huge amount of data on the Internet and the diverse list of strategies used to try to link this information with relevant searches through Linked Data have generated a revolution in data treatment and its representation. Nevertheless, the conventional search engines like Google are kept as strategies with good reception to do search processes. The following article presents a study of the development and evolution of search engines, more specifically, to analyze the relevance of findings based on the number of results displayed in paging systems with Google as a case study. Finally, it is intended to contribute to indexing criteria in search results, based on an approach to Semantic Web as a stage in the evolution of the Web.
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