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    • Revista IJIMAI
    • 2017
    • vol. 4, nº 4, june 2017
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2017
    • vol. 4, nº 4, june 2017
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    Exploring the Relevance of Search Engines: An Overview of Google as a Case Study

    Autor: 
    Gaona-García, Paulo Alonso
    ;
    Montenegro-Marin, Carlos Enrique
    ;
    Beltrán-Alfonso, Ricardo
    ;
    Torres-Tautiva, Andres
    Fecha: 
    06/2017
    Palabra clave: 
    algorithms; google; search; IJIMAI
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/11762
    DOI: 
    http://doi.org/10.9781/ijimai.2017.449
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/2608
    Open Access
    Resumen:
    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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    Nombre: ijimai20174_4_9_pdf_20273.pdf
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