International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 05 | May -2017
p-ISSN: 2395-0072
www.irjet.net
Computational model for the processing of documents and support to the decision making in systems of information retrieval Ph.D Carlos Ortega Maldonado1, Ing. Paúl Rodríguez Leyva2, Ph.D Juan Pedro Febles3, MSc.
Hubert Viltres Sala4, Ing. Yennifer Delgado Mesa5 1Canciller
Universidad Especialidades de Espíritu Santo (UEES) Guayaquil, Ecuador
2Departamento
de Soluciones Informáticas para Internet, Universidad de las Ciencias Informáticas, La Habana, Cuba 3Departamento
Metodológico de Postgrado, Universidad de las Ciencias Informáticas, La Habana, Cuba 4Departamento
de Preparación Profesional, Universidad de las Ciencias Informáticas, La Habana, Cuba 5Centro
de Soluciones de Software Libre Universidad de las Ciencias Informáticas, La Habana, Cuba ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Disposing or not, of the necessary information at the right time, can mean the success or failure of any operation. . The field of information retrieval since its inception in the year 1950, has provided tools that allow users to find answers to their needs and questions. In-formation retrieval systems are the most used internationally, since they have interfaces and functionalities easy to understand. The main function of these systems is track the web, store the information found and then respond to user queries. Due to the large amount of information that have search engines, are a rich source of knowledge and support decision-making on information published on the web. Companies like Google do not provide concrete information of which models they use to develop the components of their search engines. In addition the calculation of the relevance of their documents responds to commercial and governmental policies, reason why it is difficult to develop systems as complex as the search engines without owning a computational model that supports the process of development of the same. The present article gives the design of a computational model for document processing and support decision-making in information retrieval systems used to design, development and deployment of searchers at national and international level. Key Words: information retrieval, search engine, relevance, computational model 1. INTRODUCTION Information retrieval (RI) deals with finding material (usually documents) of an unstructured nature (usually text) found in large collections (usually digitally stored) and satisfies a need for information [3]. Information retrieval systems, hereinafter SRI, are tools structured by components that execute functions oriented to the tracing of information accessible on the web, their indexing and subsequently provide visualization mechanisms with which the user interacts directly through queries Which are answered by the system with a list of ordered results according to the criteria implemented in the tool itself. These systems base their operation on information retrieval models designed to establish mechanisms to respond to users' search needs. The term model has a well-known meaning within the field of information retrieval. This meaning is nothing more than a direct adaptation of its general meaning (theoretical scheme of a system or complex reality that is elaborated to facilitate its understanding and the study of its behavior) to this particular domain. In the field of information retrieval, hereinafter IR, in a simplified way we can consider a model as a method to represent both documents and queries in information retrieval systems and compare the similarity of these representations. To do this, recovery models have to implicitly or explicitly provide a definition of relevance. In addition, they can describe the computational process, the human process and the variables involved in the overall process [3].Companies like Google do
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