Creating a Thesaurus "Crime-Related Web Content" Based on a Multilingual Corpus

An overview of the most common ontological resources and methods of their construction and application is given. For purposes of scientific research we analyzed the characteristics of ontologies in the public domain and corpus containing criminal context. Additionally, we have recently developed a Flask-based web application that generates ontologies using the Anytree library. The authors also developed a multilingual basic ontology called "Illegal Web content" based on a corpus of texts in criminal context in English, Ukrainian, Kazakh and Russian languages. The development of this ontology was motivated by the need for effective analysis and prevention of criminal activities based on textual information disseminated on the internet. The newly developed web application allows users to create ontologies by importing text files in different languages, and then automatically generates an ontology based on the text. The application is user-friendly, and allows users to customize the ontology by adding or removing nodes, changing the labels of nodes and edges, and setting the weight of edges. Overall, the development of the "Illegal Web content" ontology and the web application represents a significant contribution to the field of ontology development and text processing for criminal investigation and prevention. The main characteristics of the Web application, including its ease of use and customizability, make it a valuable tool for researchers and practitioners alike