Exploring the Relevance of Search Engines: An Overview of Google as a Case Study
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| 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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| Year of Publication |
2017
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| Journal |
International Journal of Interactive Multimedia and Artificial Intelligence
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| Volume |
4
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| Issue |
Regular Issue
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| Number |
4
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| Number of Pages |
72-79
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| Date Published |
06/2017
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| ISSN Number |
1989-1660
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| Attachment |
ijimai20174_4_9.pdf804.1 KB
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