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.
CITATION STYLE
Carnaz, G., Beires Nogueira, V., Antunes, M., & Ferreira, N. (2020). An Automated System for Criminal Police Reports Analysis. In Advances in Intelligent Systems and Computing (Vol. 942, pp. 360–369). Springer Verlag. https://doi.org/10.1007/978-3-030-17065-3_36
Mendeley helps you to discover research relevant for your work.