An event ontology construction approach to web crime mining

Li, Cunhua; Hu, Yun; Zhong, Zhaoman

doi:10.1109/fskd.2010.5569290

Cited by 8 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study Event ontology and support vector machine have been utilized for web crime mining [7]. Text mining includes SVM learning and SVM classification.…”

Section: Event Ontology Construction For Cybercrimementioning

confidence: 99%

See 1 more Smart Citation

Crime Mining: A Comprehensive Survey

Arif¹,

Alam²,

Hussain³

2015

IJUNESST

View full text Add to dashboard Cite

show abstract

“…In this study Event ontology and support vector machine have been utilized for web crime mining [7]. Text mining includes SVM learning and SVM classification.…”

Section: Event Ontology Construction For Cybercrimementioning

confidence: 99%

“…Document languages are also converted to extract crime information and then further processing is applied. In [7] and [8] Arabic documents and Chinese web pages are processed. Thus various classification, clustering and outlier detection techniques are implemented.…”

Section: Introductionmentioning

confidence: 99%

Crime Mining: A Comprehensive Survey

Arif¹,

Alam²,

Hussain³

2015

IJUNESST

View full text Add to dashboard Cite

show abstract

“…Cunhua et al [7] have explored cyber crime in Chinese web pages by event ontology construction. In particular, they define event ontology and demonstrate how it can be used to describe cyber crimes on the level of event, relation and event class.…”

Section: Event Crime Modelmentioning

confidence: 99%

i-JEN: Visual Interactive Malaysia Crime News Retrieval System

Ali

Mohd²,

Lee

et al. 2011

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. Supporting crime news investigation involves a mechanism to help monitor the current and past status of criminal events. We believe this could be well facilitated by focusing on the user interfaces and the event crime model aspects. In this paper we discuss on a development of Visual Interactive Malaysia Crime News Retrieval System (i-JEN) and describe the approach, user studies and planned, the system architecture and future plan. Our main objectives are to construct crime-based event; investigate the use of crimebased event in improving the classification and clustering; develop an interactive crime news retrieval system; visualize crime news in an effective and interactive way; integrate them into a usable and robust system and evaluate the usability and system performance. The system will serve as a news monitoring system which aims to automatically organize, retrieve and present the crime news in such a way as to support an effective monitoring, searching, and browsing for the target users groups of general public, news analysts and policemen or crime investigators. The study will contribute to the better understanding of the crime data consumption in the Malaysian context as well as the developed system with the visualisation features to address crime data and the eventual goal of combating the crimes.

show abstract

Development of Ontology on Crime Investigation process

Srimukh

Shridevi

2020

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

This paper is an extended version of the research paper “Ontology based crime investigation process” which deals with the working principle and the construction of an ontology based extensively on organized crime. Ontologies on various domains are created in which their assistance has been widely recognized. They are being developed for providing basis for allocation of knowledge in a domain and imparting reasonable information. In this paper we describe the structure of the ontology we created and also by validating the ontology via an online ontology evaluating tool.

show abstract

An event ontology construction approach to web crime mining

Cited by 8 publications

References 8 publications

Crime Mining: A Comprehensive Survey

Crime Mining: A Comprehensive Survey

i-JEN: Visual Interactive Malaysia Crime News Retrieval System

Development of Ontology on Crime Investigation process

Contact Info

Product

Resources

About