Copyright © 2018 Authors. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. International Journal of Engineering & Technology, 7 (2.28) (2018) 187-190 International Journal of Engineering & Technology Website: www.sciencepubco.com/index.php/IJET Research paper Criminal intelligence analysis based on ontological knowledge representation model M. A. Jalil, F. Mohd*, C. P. Ling, N. M. M. Noor School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, Kuala Terengganu, Terengganu, Malaysia. *Corresponding author E-mail: mpfatihah@umt.edu.my Abstract Nowadays, community security is an issue which is given higher priority by all agencies, aiming to reduce crime incidence. As knowledge representation is the appropriate way to apply on complex crime analysis information, hence ontology-based case matching model is proposed to represent the relationships among the knowledge. Therefore, in this study, the ontology model is developed using semantic web modelling tool, TopBraid Composer Standard Edition in order to represent the crime information with the well-defined classes and relationships. The advantage of TopBraid is the ability in offering comprehensive supports for building, managing and testing the configuration of ontology and Resource Description Framework (RDF) graphs. Keywords: Crime analysis, Knowledge representation, Ontology, TopBraid. 1. Introduction The growing number of useful information and the complexity and dynamic characteristic of crime investigation area call for new ways of information and knowledge representation. Hence, apply- ing an appropriate method of crime analysis information is need- ed. Crime analysis is used to extract data patterns of the criminal events and its investigation [1,2]. According to INTERPOL, crim- inal intelligence analysis is defined as the “study [of] criminals, crime suspects, incidents, issues and trends.. [to] identify relation- ships or connections between different crimes in different places” [3]. During a crime investigation process, a hidden relationship between different crimes to the previous crimes are extracted. It involved the matching process on how a crime is related to anoth- er crime and modus operandi used between that crimes. In this study, knowledge presentation based on ontology is used to represent the relationships between data, such as modus operandi and crime scene in a structured and meaningful way. This method is used to represent the data that could assist police in identifying and analyzing crime patterns to reduce further occurrences of similar incidence and provide information to reduce the crime. According to Dzemydiene and Kazemikaitiene, the current system of a recording nature only keeps the criminal records, card files and databases [4]. It does not construct the information in a mean- ingful way and therefore it would be hard for the investigation officer (IO) to analyze the related information and make a proper decision during the investigation process. The key information of the criminal case report such as the modus operandi, case number, report summary, motorcycle type, crime scene and time is stored independently in separate folders without any relationships among the key information. In order to overcome the problems described by [4], there is a great need to develop an ontological-based case matching model where the IO could first acquire the related mo- torcycle theft information from the ontology model in a well- structured form and understand the relationships between the in- formation easily. Therefore, an ontology model is being proposed as a knowledge representation model to represent these relationships. In this study two problems have become the focus: (i) how to develop a knowledge representation model, (ii) to represent the crime inves- tigation information and how could we make good use of the model’s output to assist the investigating officers (IO) in aiming the targeted suspects based on the previous case records. So that, at the end of this study, the ontological-based case matching mod- el applied to the crime investigation domain is presented. The rest of the paper is organized as follows. Section 2 discusses the mate- rials and methods used, containing development of a framework and model used in this study. Section 3, the results produced are presented and discussed. Finally, the study is concluded in Section 4. 2. Materials and methods This section explains the methodology of developing an ontologi- cal-based case matching model. A prototype named CrimeAnaly- sis based on an ontological-based case matching model is intro- duced. The ontological modelling of CrimeAnalysis presented the relationship between data, such as modus operandi and crime loca- tions in a structured and meaningful way. The relationship be- tween classes created in the ontology model will be applied in the case matching mechanism of the prototype in order to support the theft investigation process of the IO. The prototype would only represent the information of the motorcycle theft cases and the related output would be applied in the case matching process of the same domain.