APRENDIZAGEM DE ONTOLOGIAS A PARTIR DE TEXTO SOBRE COMPUTAÇÃO FORENSE

Abstract

The etymology of the word ontology has roots in the Greek dialect, carrying with it the concept of logical discourse. Although this word has multiple definitions under different perspectives, in this article, our focus is exclusively on ontology in the context of computing. According to the dictionary, ontology applied to computing is a technique for organizing information, representing knowledge with the goal of sharing and reusing that information [ONTOLOGIA, 2020]. In more specific terms, a computational ontology is defined by classes, objects, references, and relationships between them. Essentially, it serves as the formal representation of a computational system. Some practical examples of ontologies include the foundation of an integrated digital library, artificial intelligence learning, and the basis for technological advancements, resulting in more skilled machines [GUIMARAES,2015]. As we delve into the field of forensic computing, we realize that it is intrinsically linked to the technological advances of everyday life. This discipline is highly precise in the identification, collection, examination, and analysis of data, facilitating the extraction of criminal evidence from computers and storage media.[FILHO,2016] In turn, we were able to prove enough that in a given set of words such as articles, for example, we can obtain more than 1000 words derived from a specific topic using ontologies, even though it is a time-consuming process to organize the results.