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:
06/2017Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Tipo de Ítem:
articleDirección web:
https://ijimai.org/journal/bibcite/reference/2608![Open Access Open Access](/themes/Mirage2/images/reunir/openaccess.png)
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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