Information retrieval and database query in the search process of the Online Mechanism for References

• Autor(a) principal: Felisberto, Proxério Manoel
• Data de Publicação: 2016
• Outros Autores: Marcelino, Roderval, Gonçalves, Alexandre Leopoldo, Alves, João Bosco da Mota
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Em Questão (Online)
• Texto Completo: https://seer.ufrgs.br/index.php/EmQuestao/article/view/63885
• topic: Recuperação da informação. Indexação. Modelo de espaço vetorial. Mecanismo online para referências.; Information Retrieval. Indexing. Vector Space Model. Mecanismo Online para Referências.

The data of organizations grows exponentially each year and has brought increment to the administrators and managers in the decision-making process, which they are daily submitted. In order to manage this data and discover information contained on them, the Information Retrieval Systems is widely used in the organizational environment. The Information Retrieval was mainly developed to provide quickly to the users the information they seek. The evaluation of an Information Retrieval System is focused on its search engine, measuring how fast it can respond to a query, or the relevance level of the retrieved information. This study verifies the impact of using search engines, based on Apache Solr®, at the information retrieval process contained in the Mecanismo Online para Referências database. Thus, we researched the literature, searching for fundamentals to conceptualize the Information Retrieval and to deal with the peculiarities that are consistent with the scope of this research. We analyze the main features of the Apache Solr® Information Retrieval Server and the developed prototype built to evaluate this study. It should be clarify that the Apache Solr® was set up to sort the results by relevance level, and the Vector Space Model was used to calculate the degree of similarity. After that, the collected data is tabulated, presented and analyzed. We conclude that the use of search engines, based on Apache Solr® , impacts positively on the information retrieval process contained in the Mecanismo Online para Referências database.