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Knowledge Representation of Crime-Related Events: a Preliminary Approach

Authors Gonçalo Carnaz , Vitor Beires Nogueira , Mário Antunes

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Gonçalo Carnaz
  • Department of Informatics, University of Évora, Portugal
Vitor Beires Nogueira
  • Department of Informatics, University of Évora, Portugal
Mário Antunes
  • School of Technology and Management, Polytechnic Institute of Leiria, Portugal
  • INESC-TEC, CRACS, University of Porto, Porto, Portugal

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Gonçalo Carnaz, Vitor Beires Nogueira, and Mário Antunes. Knowledge Representation of Crime-Related Events: a Preliminary Approach. In 8th Symposium on Languages, Applications and Technologies (SLATE 2019). Open Access Series in Informatics (OASIcs), Volume 74, pp. 13:1-13:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/OASIcs.SLATE.2019.13

Abstract

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).

Subject Classification

ACM Subject Classification
  • Information systems → Information retrieval
  • Information systems → Ontologies
Keywords
  • SEM Ontology
  • Relation Extraction
  • Crime-Related Events
  • SVO Algorithm
  • Ontology Population

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