Information retrieval systems and the relevance concept in search engines: semantics and significance
In order to study the concept of relevance, some conceptions of Information Retrieval Systems are resumed to contextualize the current search engines, considered Digital or Significance Systems. Based on documentary research, literature review and understanding of the results of a search interface (...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | Brasil |
| Institución: | Universidade Federal de Santa Catarina (UFSC) |
| Repositorio: | Encontros Bibli |
| Idioma: | portugués |
| OAI Identifier: | oai:periodicos.ufsc.br:article/46692 |
| Acceso en línea: | https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2017v22n50p161 |
| Access Level: | acceso abierto |
| Palabra clave: | Sistema de Recuperação da Informação Recuperação da Informação Ciência da Informação Mecanismos de busca Semântica Relevância Information Retrieval Systems Information Retrieval Information Science Semantic Search Engines Relevance |
| Sumario: | In order to study the concept of relevance, some conceptions of Information Retrieval Systems are resumed to contextualize the current search engines, considered Digital or Significance Systems. Based on documentary research, literature review and understanding of the results of a search interface (SERP), it is argued, based on the search algorithm and the Google Knowledge Graph, the correlation between (web) semantic optimization and relevance. As a result, it was verified the strong association between the notion of semantics with the concept of relevance in search engines. It can also be established the relation of meaning (sense and reference) and information and thus come to the conclusion that relevance is an important property of information. It was noticed that the relevance, in the last decade, in the context of search engines, encompasses, especially in the system-user relationship, the collection of described entities, personalization and contextualization. |
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