2026-08-16T17:30:34Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:10880 2024-03-06T10:30:45Z ddc:004 open_access

Knowledge Representation of Crime-Related Events: a Preliminary Approach Carnaz, Gonçalo Nogueira, Vitor Beires Antunes, Mário SEM Ontology Relation Extraction Crime-Related Events SVO Algorithm Ontology Population The crime is spread in every daily newspaper, and particularly on criminal investigation reports produced by several Police departments, creating an amount of data to be processed by Humans. Other research studies related to relation extraction (a branch of information retrieval) in Portuguese arisen along the years, but with few extracted relations and several computer methods approaches, that could be improved by recent features, to achieve better performance results. This paper aims to present the ongoing work related to SEM (Simple Event Model) ontology population with instances retrieved from crime-related documents, supported by an SVO (Subject, Verb, Object) algorithm using hand-crafted rules to extract events, achieving a performance measure of 0.86 (F-Measure). Schloss Dagstuhl – Leibniz-Zentrum für Informatik Gonçalo Carnaz and Vitor Beires Nogueira and Mário Antunes 2019 Is Part Of OASIcs, Volume 74, 8th Symposium on Languages, Applications and Technologies (SLATE 2019) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.SLATE.2019.13 urn:nbn:de:0030-drops-108809 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2019.13 eng https://creativecommons.org/licenses/by/3.0/legalcode