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

TitleExploring the Relevance of Search Engines: An Overview of Google as a Case Study
Publication TypeJournal Article
Year of Publication2017
AuthorsBeltrán-Alfonso, R., A. Torres-Tautiva, P. A. Gaona-García, and C. E. Montenegro-Marin
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
IssueRegular Issue
Date Published06/2017

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.

KeywordsAlgorithms, Google, Search
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