An Automated System for Criminal Police Reports Analysis

Carnaz, Gonçalo; Nogueira, Vitor B.; Antunes, Mário; Ferreira, Nuno

http://hdl.handle.net/10400.8/14344

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An Automated System for Criminal Police Reports Analysis.pdf	Information Extraction (IE) and fusion are complex fields and have been useful in several domains to deal with heterogeneous data sources. Criminal police are challenged in forensics activities with the extraction, processing and interpretation of numerous documents from different types and with distinct formats (templates), such as narrative criminal reports, police databases and the result of OSINT activities, just to mention a few. Such challenges suggest, among others, to cope with and manually connect some hard to interpret meanings, such as license plates, addresses, names, slang and figures of speech. This paper aims to deal with forensic IE and fusion, thus a system was proposed to automatically extract, transform, clean, load and connect police reports that arrived from different sources. The same system aims to help police investigators to identify and correlate interesting extracted entities.	307.45 KB	Adobe PDF	Download

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Abstract(s)

Information Extraction (IE) and fusion are complex fields and have been useful in several domains to deal with heterogeneous data sources. Criminal police are challenged in forensics activities with the extraction, processing and interpretation of numerous documents from different types and with distinct formats (templates), such as narrative criminal reports, police databases and the result of OSINT activities, just to mention a few. Such challenges suggest, among others, to cope with and manually connect some hard to interpret meanings, such as license plates, addresses, names, slang and figures of speech. This paper aims to deal with forensic IE and fusion, thus a system was proposed to automatically extract, transform, clean, load and connect police reports that arrived from different sources. The same system aims to help police investigators to identify and correlate interesting extracted entities.

Description

EISBN - 9783030170653
Conference name - 10th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2018; Conference date - 13 December 2018 - 15 December 2018; Conference code - 225239

Keywords

Information fusion forensics ETL criminal police reports

URI

http://hdl.handle.net/10400.8/14344

Citation

Carnaz, G., Beires Nogueira, V., Antunes, M., Ferreira, N. (2020). An Automated System for Criminal Police Reports Analysis. In: Madureira, A., Abraham, A., Gandhi, N., Silva, C., Antunes, M. (eds) Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018). SoCPaR 2018. Advances in Intelligent Systems and Computing, vol 942. Springer, Cham. https://doi.org/10.1007/978-3-030-17065-3_36.