A Graph Database Representation of Portuguese Criminal-Related Documents
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 articl...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
|
| Series: | Informatics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9709/8/2/37 |
| _version_ | 1797531351592730624 |
|---|---|
| author | Gonçalo Carnaz Vitor Beires Nogueira Mário Antunes |
| author_facet | Gonçalo Carnaz Vitor Beires Nogueira Mário Antunes |
| author_sort | Gonçalo Carnaz |
| collection | DOAJ |
| description | 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 <i>SEMCrime</i>, 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 <i>5WH1</i> (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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.73</mn></mrow></semantics></math></inline-formula>, and a 5W1H information extraction performance with an F-Measure of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.65</mn></mrow></semantics></math></inline-formula>. |
| first_indexed | 2024-03-10T10:42:33Z |
| format | Article |
| id | doaj.art-0254df6d6983408a8ea2ad7f64a72b29 |
| institution | Directory Open Access Journal |
| issn | 2227-9709 |
| language | English |
| last_indexed | 2024-03-10T10:42:33Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Informatics |
| spelling | doaj.art-0254df6d6983408a8ea2ad7f64a72b292023-11-21T22:49:02ZengMDPI AGInformatics2227-97092021-06-01823710.3390/informatics8020037A Graph Database Representation of Portuguese Criminal-Related DocumentsGonçalo Carnaz0Vitor Beires Nogueira1Mário Antunes2Informatics Departament, University of Évora, 7002-554 Évora, PortugalInformatics Departament, University of Évora, 7002-554 Évora, PortugalComputer Science and Communication Research Centre (CIIC), School of Technology and Management, Polytechnic of Leiria, 2411-901 Leiria, PortugalOrganizations 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 <i>SEMCrime</i>, 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 <i>5WH1</i> (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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.73</mn></mrow></semantics></math></inline-formula>, and a 5W1H information extraction performance with an F-Measure of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.65</mn></mrow></semantics></math></inline-formula>.https://www.mdpi.com/2227-9709/8/2/37knowledge representationgraph databasesnatural language processingcriminal-related documentscybersecuritycriminal domain, police reports |
| spellingShingle | Gonçalo Carnaz Vitor Beires Nogueira Mário Antunes A Graph Database Representation of Portuguese Criminal-Related Documents Informatics knowledge representation graph databases natural language processing criminal-related documents cybersecurity criminal domain, police reports |
| title | A Graph Database Representation of Portuguese Criminal-Related Documents |
| title_full | A Graph Database Representation of Portuguese Criminal-Related Documents |
| title_fullStr | A Graph Database Representation of Portuguese Criminal-Related Documents |
| title_full_unstemmed | A Graph Database Representation of Portuguese Criminal-Related Documents |
| title_short | A Graph Database Representation of Portuguese Criminal-Related Documents |
| title_sort | graph database representation of portuguese criminal related documents |
| topic | knowledge representation graph databases natural language processing criminal-related documents cybersecurity criminal domain, police reports |
| url | https://www.mdpi.com/2227-9709/8/2/37 |
| work_keys_str_mv | AT goncalocarnaz agraphdatabaserepresentationofportuguesecriminalrelateddocuments AT vitorbeiresnogueira agraphdatabaserepresentationofportuguesecriminalrelateddocuments AT marioantunes agraphdatabaserepresentationofportuguesecriminalrelateddocuments AT goncalocarnaz graphdatabaserepresentationofportuguesecriminalrelateddocuments AT vitorbeiresnogueira graphdatabaserepresentationofportuguesecriminalrelateddocuments AT marioantunes graphdatabaserepresentationofportuguesecriminalrelateddocuments |