O processo de alimentação e indexação de dados nos registros de eventos de defesa social com foco na recuperação da informação para análises de inteligência de segurança pública

Abstract

The process of data feeding and indexing in the records of social defense events focused on information recovery for public safety intelligence analysis. The Social Defense Events Registry is a system used by security institutions in the state of Minas Gerais to record incidents, initiate investigations, and report other activities related to civil defense, there by enabling the performance of police intelligence analyses. Police intelligence analysis plays a crucial role in crime prevention and combat. It involves the collection, organization, analysis, and interpretation of data to obtain information and generate insights to assist in making strategic decisions at all levels. In this context, the present article aims to identify possible issues regarding data input and indexing in the Social Defense Events Registry and propose solutions for more efficient information retrieval, with the goal of optimizing intelligence analyses. Such data may include details about crimes, suspects, victims, locations, and event times, among others. Utilizing information retrieval techniques, such as Boolean, Vectorial, and Probabilistic models, as well as more recent approaches like the Fuzzy model, Neural Networks, and Genetic Algorithms, can facilitate access to the necessary data for police intelligence analyses. Through a literature review, this article will present an overview of general aspects related to public security intelligence activities and the knowledge representation methods applied to information organization and retrieval. The approach method will be hypothetical deductive, considering the identified gap in the current theme. It has been observed that the use of generic term sand incorrect fields in the Social Defense Events Registry can be complicating factors, leading to compromised analyses and hindrance in information retrieval. In this context, the present article seeks to identify possible issues regarding data input and indexing in the Social Defense Events Registry and propose solutions for more efficient information retrieval.