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

Authors

  • Ricardo Beltrán Alfonso Universidad Distrital Francisco José de Caldas image/svg+xml
  • Andres Torres Tautiva Universidad Distrital Francisco José de Caldas image/svg+xml
  • Paulo Alonso Gaona García Universidad Distrital Francisco José de Caldas image/svg+xml
  • Carlos Enrique Montenegro Marín Universidad Distrital Francisco José de Caldas image/svg+xml

DOI:

https://doi.org/10.9781/ijimai.2017.449

Keywords:

Algorithms, Google, Search
Supporting Agencies
The authors gratefully acknowledged to Universidad Distrital Francisco José de Caldas trough GIIRA Research group.

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.

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Published

2017-06-01
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How to Cite

Beltrán Alfonso R., Torres Tautiva, A., Gaona García, P. A., and Montenegro Marín, C. E. (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://doi.org/10.9781/ijimai.2017.449

Issue

Vol. 4 No. 4 (2017): IJIMAI 2017 - Regular Issue.

Section

Regular Articles

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