Exploring the Relevance of Search Engines: An Overview of Google as a Case Study

Abstract

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.

Authors and Affiliations

Ricardo Beltrán-Alfonso, Andres Torres-Tautiva, Paulo Gaona-García, Carlos Montenegro-Marin

Keywords

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  • EP ID EP329255
  • DOI 10.9781/ijimai.2017.449
  • Views 139
  • Downloads 0

How To Cite

Ricardo Beltrán-Alfonso, Andres Torres-Tautiva, Paulo Gaona-García, Carlos Montenegro-Marin (2017). Exploring the Relevance of Search Engines: An Overview of Google as a Case Study. International Journal of Interactive Multimedia and Artificial Intelligence, 4(4), 72-79. https://europub.co.uk/articles/-A-329255