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

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

• Autores: Beltrán Alfonso, Ricardo Andres; Torres Tautiva, Andres Giovany
• Tipo de recurso: Trabajo de grado de pregrado
• Fecha de publicación: 2016
• Institución: Universidad Distrital Francisco José de Caldas
• Repositorio: RIUD: repositorio U. Distrital
• Idioma: spa
• OAI Identifier: oai:repository.udistrital.edu.co:11349/4556
• Acceso en línea: http://hdl.handle.net/11349/4556
• Palabra clave: Browsers; Google; Internet; Search; Algorithms; INGENIERÍA DE SISTEMAS - TESIS Y DISERTACIONES ACADÉMICAS; MOTORES DE BÚSQUEDA; RELEVANCIA (RECUPERACIÓN DE INFORMACIÓN); BÚSQUEDAS EN LÍNEA; ALGORITMOS (COMPUTADORES); Browsers; Google; Internet; Search; Algorithms
• License: Atribución-NoComercial-SinDerivadas 4.0 Internacional