文章基本信息

标题：Knowledge Representation of Crime-Related Events: a Preliminary Approach
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作者：Gonçalo Carnaz ; Vitor Beires Nogueira ; Mário Antunes 等
期刊名称：OASIcs : OpenAccess Series in Informatics
电子版ISSN：2190-6807
出版年度：2019
卷号：74
页码：1-8
DOI：10.4230/OASIcs.SLATE.2019.13
出版社：Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
摘要：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).
关键词：SEM Ontology; Relation Extraction; Crime-Related Events; SVO Algorithm; Ontology Population