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.
Highlights
The constant growing of web-related services and the amount of data Internet handles, bring a new challenge for all information users associated to its veracity and quality
To carry out this study we develop an algorithm that allows scrolling through the results of searches obtained by Google to identify the way in which these results are indexed, and validation criteria of the obtained results
Real results displayed based on Crawler. As it is presented in table I, the results displayed by the search engine surpass by great numbers the real results of available resources that have a relation with the search made
Summary
The constant growing of web-related services and the amount of data Internet handles, bring a new challenge for all information users associated to its veracity and quality It is not an easy task, considering that the contents on Internet increase each second regardless their use or efficacy [1], which requires a deep and clear analysis about the quality of the search results. Its fast evolution during years, has become a transforming factor for social, political, cultural, and especially scientific structures [1] This evolution has transformed the way in which the information has been stored and distributed by Internet, regarding internet significant size that hinders finding relevant results.
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