Modeling brain and behavior of a terrorist through fuzzy logic and ontology

Vishwakarma, Raj Kumar; Shankar, Ravi

doi:10.1109/ieem.2013.6962533

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…(Alami and Elbeqqali, 2015). To develop useful profiles of different cybercriminals, text mining techniques are an effective way to detect and predict criminal activities in microblog publications that consider the problems of data scarcity and semantic gap (Gerber, 2014), developing methodologies to apply complex networks in the analysis of criminality disseminated within criminal geographic areas within a city (Spadon et al, 2017), using tools such as ontologies for analyze inter-gang relationships, linking criminals to certain criminal organizations and relationships between them (Vishwakarma and Shankar, 2014).…”

Section: Related Workmentioning

confidence: 99%

An Empirical Study of the Perception of Criminality through Analysis of Newspapers Online

Saldaña

2020

J INFORM SYSTEMS ENG

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Crime analysis represents a great challenge to law enforcement considering that the sources to use for generating intelligence are diverse in content and/or structure. However, in recent years, techniques such as natural language processing, a field of computing, artificial intelligence and linguistics have been developed that allow to study the interactions between computers and human language, and that in turn can be used effectively in the analysis of large amounts of texts and in the subsequent derivation of interesting analytical results. This paper presents a model for analysis of criminal events from online newspapers, identifying the areas with the highest crime rates through the detection and geographical mapping of critical points and the analysis of the nature of the criminal event. The evaluation of the proposed model to estimate the perception of crime in the domain of the proposed communes indicates that it is efficient in categorizing the news and the nature of these (validated by the performance indicators).

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Section: Related Workmentioning

confidence: 99%

An Empirical Study of the Perception of Criminality through Analysis of Newspapers Online

Saldaña

2020

J INFORM SYSTEMS ENG

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“…In the military field, it is common to study the ontological modeling of enemy tactical intentions [24,25], the construction of combat operations ontology [26] and the description of complex video content with ontology framework [27,28] etc. In the security field, the application of ontology construction can be traced back from the early network ontology construction of forensics analysis [29] to terrorist organization ontology [30,31], criminal ontology and knowledge reasoning [32,33] in recent years. However, semantic understanding of content needs specific background knowledge.…”

Section: Background and Related Workmentioning

confidence: 99%

A Novel Ontology Construction and Reasoning Approach Based on the Case Investigation

Han¹,

Zhang²,

Zhang³

et al. 2019

IJDSA

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The big data has become a key component for intelligent systems and it is very important about data mining and cognitive reasoning in the field of criminal data analysis. Modeling of investigation knowledge is very important to realize the semantic retrieval, knowledge discovery, information push and classification for case data. Ontology modeling combined with the characteristics of the case in the investigation process, a method of ontology construction based on investigation knowledge is proposed in this paper. It builds an organization system of the investigation process at the first, which is described in stages by collecting terminology. Then the ontology of investigation knowledge is constructed. In addition, an instance is added for verification to describe the investigation process in detail. The method has a good advantage of describing the detection process quickly and integrate knowledge according to different investigation stages, formulating a standardized organization mode and providing standardized knowledge assistance in the investigation process.

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Simple Implementation of Criminal Investigation using Call Data Records (CDRs) through Big Data Technology

Khan¹,

Azmi²,

Ansari³

et al. 2018

2018 International Conference on Smart City and Emerging Technology (ICSCET)

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Modeling brain and behavior of a terrorist through fuzzy logic and ontology

Cited by 5 publications

References 25 publications

An Empirical Study of the Perception of Criminality through Analysis of Newspapers Online

An Empirical Study of the Perception of Criminality through Analysis of Newspapers Online

A Novel Ontology Construction and Reasoning Approach Based on the Case Investigation

Simple Implementation of Criminal Investigation using Call Data Records (CDRs) through Big Data Technology

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