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Title: A Graph Database Representation of Portuguese Criminal-Related Documents
Authors: Carnaz, Gonçalo
Nogueira, Vitor Beires
Antunes, Antunes
Keywords: knowledge representation
graph databases
natural language processing
criminal-related documents
criminal domain
police reports
Issue Date: 4-Jun-2021
Citation: Carnaz, G.; Nogueira, V.B.; Antunes, M. A Graph Database Representation of Portuguese Criminal-Related Documents. Informatics 2021, 8, 37.
Abstract: Organizations have been challenged by the need to process an increasing amount of data, both structured and unstructured, retrieved from heterogeneous sources. Criminal investigation police are among these organizations, as they have to manually process a vast number of criminal reports, news articles related to crimes, occurrence and evidence reports, and other unstructured documents. Automatic extraction and representation of data and knowledge in such documents is an essential task to reduce the manual analysis burden and to automate the discovering of names and entities relationships that may exist in a case. This paper presents SEMCrime, a framework used to extract and classify named-entities and relations in Portuguese criminal reports and documents, and represent the data retrieved into a graph database. A 5WH1 (Who, What, Why, Where, When, and How) information extraction method was applied, and a graph database representation was used to store and visualize the relations extracted from the documents. Promising results were obtained with a prototype developed to evaluate the framework, namely a name-entity recognition with an F-Measure of 0.73, and a 5W1H information extraction performance with an F-Measure of 0.65.
Type: article
Appears in Collections:INF - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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